The Program of AI World Cup 2019 and RiTA 2019

AIWC/ RiTA 2019 Fri – Sun, 1 – 3 November Academic Cultural Complex (E9) KAIST, Daejeon, Korea

Final Program

SOCCER

COMMENTATOR

JOURNALIST

Contents

Welcome Messages

2

Organizing Committee

4

AIWC / RiTA 2019 Sponsors

6

Event Venue

6

Social Events

7

KAIST Lab Tours

7

Registration / WiFi Access

7

Program at a Glance

8

Plenary Speakers

9

Invited Speakers

11

Tutorials

13

AI World Cup 2019 Teams

14

RiTA 2019 Technical Program Details

16

Hotel Information / Shuttle Bus Schedule

20

KAIST Campus Map

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Welcome Message Welcome Message from the AI World Cup Chairman Welcome to the International AI World Cup 2019 at KAIST! I am very glad to invite you to the 2nd AI World Cup. Korea’s AI technology has developed rapidly since the 2016 Alphago vs. Isedol Deep Mind Challenge Go game. Based on Korea’s pervasive AI ecosystem, AI technology has expanded and been applied throughout Korean society.

As part of this revolution, KAIST is developing core AI technologies and aims to foster AI scientists and disseminate new AI technologies. Accordingly, it has developed algorithms Jong-Hwan Kim

for soccer games using artificial intelligence techniques and machine learning for the first time in the world. KAIST has opened the source code and the software platform to

the public. Developers who want to participate in the game can download this code to devise strategies of attack and defense for each individual AI player to challenge the opponent. Additionally, in the 4th Industrial Revolution era, AI game commentators and AI journalists will showcase the revolution in the professions that is happening because of AI. The competition consists of the AI Soccer Game; five AI players who have learned the rules and strategies of soccer in an online simulation environment, an AI Commentator who analyzes and comments on the soccer matches, and an AI journalist who writes about the results.

A total of 30 teams from 12 countries including USA, China, France, Canada, and Iran, who are some of the leading countries in AI technology in the world, will be competing. Their matches will be played between November 1 to 3. The final winner will receive an AI World Cup trophy and a $10,000 prize. On November 3, seventeen youth teams will participate in pilot games of the “AI Junior World Cup.” I hope this competition will stimulate interest in AI technology among our youth. I hope it will lead to more competitions like the AI World Cup and will motivate our youth to study AI technology. Also, I anticipate that our youth will have an interest in AI technology and our organizing committee members will help to create an innovative business environment by further developing AI technology. Enjoy the AI World Cup 2019! Thank you.

Jong-Hwan Kim, KAIST AI World Cup Chairman RiTA Honorary Chair

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Welcome Message Welcome Message from the RiTA 2019 General Chairs

Junmo Kim

Dongsoo Har

On behalf of the RiTA 2019 Organizing Committee, we are pleased to hold the 7th International Conference on Robot Intelligence Technology and Applications (RiTA 2019) on 1 – 3 November 2019 in conjunction with the 2nd AI World Cup 2019 at KAIST, Daejeon, KOREA. The theme of this year’s conference is: “Intelligent robots in daily life: helping, entertaining and competing.” As robot intelligence improves we will have more robots to help us at home and at work. They will also entertain and comfort us and even help to educate our children at school. With this trend of deep interactions with robots, this conference will present the latest research results and applications in the field of robot intelligence. Researchers from around the world will share their knowledge and experience in artificial intelligence and robotics.

We are delighted to invite the following plenary speakers; Prof. John C. Gallagher and Prof. Dongjun Lee, and invited speakers; Prof. Jun Jo, Prof. Anwar P.P. Abdul Majeed, and Prof. Jaesik Choi. Under the collaborative program with AIWC, two tutorials will be held by Prof. Youngchul Sung and Prof. Jaegul Choo. Also, thanks to Prof. Jong-Hwan Kim and Prof. Jun Ho Oh, there will be KAIST lab tours on Sat, Nov 1; Robot Intelligence Technology Laboratory and Humanoid Robot Research Center. The two labs represent two outstanding robotic worlds; one lab is focused on humanoid robots, the other lab is focused on robot intelligence. Then we will have social networking times during our lunches, a welcome reception, and a joint banquet. On the last day, all of the participants will watch the finals of the AI World Cup game. All of our organizers have done our best to make exciting and informative programs. We hope you enjoy the events and your trip to Daejeon.

We would like to thank Daejeon Metropolitan City for their generous support of the conference. And we would like to thank all of the organizers and the attendees for a successful RiTA 2019. I hope you will have a great time in Daejeon. Thank you!

Junmo Kim, KAIST

Dongsoo Har, KAIST

RiTA 2019 General Chair

RiTA 2019 General Co-Chair

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AIWC 2019 Organizing Committee Organizing Committee Jong-Hwan Kim Chairman

Sung-Hee Lee Software Platform

Kijung Shin International Cooperation

Dongsoo Har Deputy Chairman

Sangwan Lee Competition

Hae-Won Park Public Relations

Olivier Michel Cyberbotics

Joel Leibo Google DeepMind

Fangzhen Lin Hong Kong University of Science and Technology

Tzuu Hseng S. Li National Cheng Kung University

Namik Cho Seoul National University

Thomas Bräunl University of Western Australia

Eric T. Matson Purdue University

Inhyok Cha CJ Corporation

Sanem Sariel Istanbul Technical University

Jun Jo Griffith University

Matthias Rehm Aalborg University

Mohammad Rahimi Amirkabir University of Technology

Gourab Sen Gupta Massey University

David Hogg University of Leeds

Advisory Board

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RiTA 2019 Organizing Committee Organizing Committee Advisory Committee Gary B. Fogel, Natural Selection, Inc., USA Gary Yen, Oklahoma State University, USA David B. Fogel, Natural Selection, Inc., USA Hussein Abbass, Univ of New South Wales – Canberra, Australia Marcelo H. ANG Jr, National University of Singapore, Singapore Honorary General Chairs Jong-Hwan Kim, KAIST, Korea Hyun Myung, KAIST, Korea General Chairs Junmo Kim, KAIST, Korea Dongsoo Har, KAIST, Korea Program Chair Han-Lim Choi, KAIST, Korea Organizing Chairs Weiliang Xu, University of Auckland, New Zealand Eric T. Matson, Purdue University, USA Fakhri Karray, University of Waterloo, Canada Jun Jo, Griffith University, Australia Special Session Chairs Gourab Sen Gupta, Massey University, New Zealand Anwar PP Abdul Majeed, Universiti Malaysia Pahang, Malaysia Workshop/ Tutorial Chairs Taesup Moon, Sungkyunkwan Univ., Korea Wonjun Hwang, Ajou University, Korea Plenary Session Chair Ah Hwee Tan, Nanyang Technological University, Singapore Publicity Chairs Paulo Vinicius Koerich Borges, CSIRO, Australia Fusaomi Nagata, Tokyo University of Science, Japan Xingsong Wang, Southeast University, China Ayoung Kim, KAIST, Korea Award Chair Serin Lee, KYRA, USA Local Arrangements Chair Jinwoo Lee, KAIST, Korea Publications Chairs Jin-Woo Jung, Dongguk University, Korea Seungmok Lee, Keymyung University, Korea

Exhibition Chair Donghwa Lee, Daegu University, Korea Finance Chair Sang Wan Lee, KAIST, Korea Program Committee Members Abdelghani Chibani, Paris Est Creteil University, France Alan Wee-Chung Liew, Griffith University, Australia Anna Friesel, Technical University of Denmark, Denmark Azizi Abdullah, Universiti Kebangsaan Malaysia, Malaysia Bela Stantic, Griffith University, Australia Brijesh Verma, CQUniversity, Australia Bumjoo Lee, Myung-Ji University, Korea Cesare Alippi, The Politecnico di Milano, Italy Chin-Teng Lin, National Chiao-Tung Univ., Taiwan David Claveau, Whittier College, USA Donghan Kim, Kyunghee Univ., Korea Elmer P. Dadios, DLSU-Manila, Philippine Etienne Burdet, Imperial College London, UK Esyin Chew, Cardiff Metropolitan University, UK Guangming Xie, Peking University, China Hongliang Ren, NUS, Singapore Hisao Ishibuchi, Osaka Prefecture University, Japan Hyun-Taek Choi, KRISO, Korea Igor Verner, Technion – Israel Institute of Technology, Israel Julia Taylor, Purdue University, USA Joao Sequeira, ISR – Instituto Superior Técnico, Portugal Kaori Yoshida, Kyushu Institute of Technology, Japan Kay Chen TAN, National University of Singapore, Singapore Kojiro Iizuka, Shibaura Institute of Technology, Japan Maki K. Habib, The American University in Cairo, Egypt Marley Maria B.R. Vellasco, Pontifical Catholic Univ of Rio de Janeiro, Brazil Meng Cheng Lau, University of Manitoba, Canada Muhammad Hafidz Fazli Bin Md Fauadi, Univ Teknikal Malaysia Melaka, Malaysia Nak Yong Ko, Chosun University, Korea Nak-Young Chong, JAIST, Japan Pei-Chen Sun, National Kaohsiung Normal University, Taiwan Peter Sincak, TU Kosice, Slovakia Pitoyo Hartono, Chukyo University, Japan Rini Akmeliawati, Int. Islamic Univ. Malaysia, Malaysia Rituparna Datta, University of South Alabama, USA Seon-Woo Lee, Hallym Univ., Korea Seul Jung, Chungnam National University, Korea Sung-eui Yoon, KAIST, Korea Sunglok Choi, ETRI, Korea Tangwen Yang, Beijing Jiaotong Univ., China Wan Chul Yoon, KAIST, Korea XiaoPing Chen, Univ of Science and Technology of China, China Yacine Amirat, UPEC – Institut U. de Technologie de Créteil-Vitry, France Yuchi Ming, Huazhong Univ of Science and Technology, China

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AIWC / RiTA 2019 Sponsors Sponsored by |

‌ Korea Advanced Institute of Science and Technology

Organized by |

‌ Machine Intelligence and Robotics Multi-Sponsored Research and Education Platform

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‌ Institute of Control, Robotics and Systems

Technically co-sponsored by |

‌ IEEE Computational Intelligence Society

Financially Contributed by |

‌ World Cyber Games

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‌ Smilegate

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‌ Daejeon Metropolitan

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‌ Daejeon International Marketing Enterprise

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‌ Korea Tourism Organization

Event Venue RiTA 2019 / AIWC 2019 will take place at Building #E9 (Academic Cultural Complex) on KAIST Daejeon campus. The KAIST Library began as KAIS Library at Seoul Hongneung Campus in 1971. It became the Science Library after the main campus of KAIST moved to Daejeon. The new Academic Cultural Complex opened in March 2018 as a modern building designed for user’s convenience. At present, there are four libraries at KAIST: the Academic Cultural Complex, the Undergraduate Branch Library, the Munji Library and the College of Business Library.

RiTA/ AIWC 2019 Venue: Academic Cultural Complex (E9: 학술문화관) KAIST 291 Daehak-ro, Yuseong-gu, Daejeon, Republic of Korea (34141)

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Social Events Welcome Reception Friday, 1 November at 6:30 pm @ Sky Lounge, 5F. B/d #E9 Conference Banquet Saturday, 2 November at 6:30 pm @ Faculty Club, 2F. B/d #E5 Conference Lunches Friday 1 November at 12:30 pm – 1:30 pm @ Sky Lounge, 5F. B/d #E9 Saturday, 2 November at 12:30 pm – 2 pm @ Cafeteria (next to Faculty Club), 2F. B/d #E5 Sunday, 3 November at 12 pm– 1 pm @ Sky Lounge, 5F. B/d #E9

KAIST Lab Tours Friday 1 November, 5 pm – 6 pm Tour meeting place: 5:45 pm at Sky Lounge, 5F, B/d #E5 KAIST Lab 1: Humanoid Robot Research Center Room #4150, Bldg #N9 KAIST Lab 2: Robot Intelligence Technology Laboratory Room #3235, Bldg #E3-2

Registration / WiFi Access Registration Hours

WiFi Access

Friday to Saturday, 1 -2 November, 8:30 am – 6:00 pm

WiFi is available on campus.

Sunday, 3 November, 09:30 am – 12:00 pm Registration Location

ID: kaist_rita2019 PW: rita2019@

Lobby of the 5th floor, bldg #E9

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8

18:30-20:00

17:00-18:00

16:45-17:00

15:45-16:45

15:30-15:45

AI Commentators/ AI Journalists

Break

Final Tournaments of AI Soccer Game

Welcome Reception

KAIST Lab Tours

Poster Session #FP3

Plenary Talk 2 (John C. Gallagher) #FPS2

Break

14:30-14:45

14:45-15:30

Plenary Talk 1 (Dongsoo Har) #FPS1

14:00-14:30

Lunch

Final Tournaments of AI Soccer Game

Opening Ceremony

Oral Session #FO2

Break

Developers Forum

13:30-14:00

13:00-13:30

12:30-13:00

12:00-12:30

11:30-12:00

11:00-11:30

10:30-11:00

Oral Session #FO1

Invited Talk (Jun Jo) #FIT1

09:30-10:00

10:00-10:30

Registration

AIWC

09:00-09:30

RiTA

Day-1, Friday 1 November

Break

Tutorial 1 (Youngchul Sung)

AIWC

Break

Lunch

Tutorial 2 (Jaegul Choo)

Quarter Finals of AI Soccer Game

Semi-Finals of AI Soccer Game Joint Banquet

Poster Session #SP4

Plenary Talk 3 (Dongjun Lee) #SPS3

Oral Session #SO3

Oral Session #SO2

Invited Talk (Anwar Majeed) #SIT2

Oral Session #SO1

RiTA

Day-2, Saturday 2 November

Program at a Glance

AIWC

Award Ceremony/ Closing Session

Finals of AI Soccer Games

Lunch

AI Junior World Cup

Invited Talk (Jaesik Choi) #SIT3

RiTA

Day-3, Sunday 3 November

Plenary Speakers Plenary Speaker <FSP1> Friday 1 November, 1:30 pm – 2 pm @ Chung Kunmo Conference Hall, 5th floor, bldg #E9 Chair: Sang Wan Lee, KAIST, Korea

Dongsoo Har, KAIST, Korea Biography : Prof. Dongsoo Har received the B.Sc. and M.Sc. degrees in electronics engineering from Seoul National University, respectively, and the Ph.D. degree in electrical engineering from Polytechnic University, Brooklyn, NY, USA. He has worked for AirTouch, Vodafone(US), and GIST. He is now the Director of Center of Green Transportation System Development in KAIST. He was a recipient of the Best Paper Award (Jack Neubauer Award) from the IEEE Transactions on Vehicular Technology in 2000. He is an associate editor of IEEE Sensors Journal. He authored and co-authored more than 100 articles published in international journals and conferences. He was the member of advisory board, program chair, vice-chair, and general chair of international conferences. He served as a vice-chair of AI World Cup in 2018. His research interests include theory and applications of artificial intelligence.

“AI Robots: Multi-agent Cooperative by Coded AI” Plenary Speaker <FPS2> Friday 1 November, 2:45 pm – 3:45 pm @ Chung Kunmo Conference Hall, 5th floor, bldg #E9 Chair: Eric T. Matson, Purdue University, USA

John C. Gallagher, Wright State University in Dayton, Ohio USA Biography : Dr. John C. Gallagher is a professor in the Department of Computer Science and Engineering at Wright State University in Dayton, Ohio USA. He received his Ph.D. in computer engineering from Case Western Reserve University in Cleveland, Ohio and for the past twenty years has investigated machine learning as applied to walking and flapping-wing flying robots, analog neuromorphic computation with both software and hardware implementations, and metaheuristic search for dynamic optimization problems.

He is a senior member of the IEEE and has maintained twenty years of uninterrupted support for various projects from the US National Science foundation, including an NSF CAREER award. He has also been active in a number of projects with the US Air Force and regularly consults on practical problems in machine learning, sensing, and control of electromechanical systems.

“Integrated Model Inference and Checking for Long Term Safety Assurance of Flapping-Wing Vehicles Containing Locally Adapting Smart Components” Abstract : Roboticists have long argued for the use of in-service adaptation of robotic systems as a means of restoring correct operation in the face of ongoing damage or unexpected environmental changes. Such adaptation is often implemented via the use of “smart components” that modify local structure to optimize some measure global system quality. This practice, as effective as it might be, may introduce unmodeled interactions into the system and prevent the ongoing use of otherwise applicable Verification and Validation

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Plenary Speakers (V&V) techniques. Without such use of such techniques, it could be difficult to ensure the long-term safety and efficacy of temporally and organizationally local modifications when viewed from the global perspective of long-term robot behavior. In this talk, we will examine methods to alleviate V&V difficulties by adopting a holistic approach in which we melt the traditional boundaries among system adaption, system identification, and model checking. We will explore the methods in the context of integrated adaptation, model extraction, and model checking for an operational flapping-wing flying vehicle flying typical mission profiles. We will further discuss how similar boundary dissolving could be of use for providing safe and effective in-service adaption for other robotic systems.

Plenary Speaker <SPS3> Saturday 2 November, 3:45 pm – 4:45 pm @ Chung Kunmo Conference Hall, 5th floor, bldg #E9 Chair: Jinwoo Lee, KAIST, Korea

Dongjun Lee, Seoul National University, Korea Biography : Dongjun Lee (B.S. KAIST, 1995, M.S. KAIST, 1997, Ph.D. Minnesota 2004) is a Professor with the Department of Mechanical & Aerospace Engineering at the Seoul National University (SNU). Prior to that, he was an Assistant Professor at the University of Tennessee – Knoxville from 2006 to 2011, a Postdoctoral Fellow with the Coordinated Science Laboratory at the UIUC from 2004 to 2006, and an Engine Development Engineer at Kia Motors, Korea, from 1997 to 1999. His main research interests include dynamics and control of robotic and mechatronic systems with particular emphasis on aerial/mobile robots, teleoperation/haptics, multirobot systems, and industrial control applications. Dr. Lee is a recipient of US NSF CAREER Award 2009, Best Paper Award from IAS 2012, Best Video Award from URAI 2013, and Doctoral Dissertation Fellowship of the University of Minnesota 2002. He was an Associate Editor of IEEE Trans. on Robotics 2010-2014, an Area Chair of RSS 2015, an Editor of ICRA 2015-2017 and an Associate Editor of IEEE Trans. on Haptics.

“Design, Estimation and Control of a New Aerial Platform, LASDRA (Large-size Aerial Skeleton with Distributed Rotor Actuation)” Abstract : A dream of many roboticists is to realize megabots (e.g., 15m, 20-DOF, able to fly), yet, real-world robots typically are too heavy with only limited-DOF (e.g., KUKA L750 Titan (3.6m, 8-DOF, 5T), Method 2 (4.1m, 24-DOF, 1.6T), etc.). This discrepancy, we believe, is due to the fundamental limitation of ubiquitous electrical motor and hydraulic actuations, namely, with both being “internal actuation”, all self-weight and external force are accumulated to their base, thereby, requiring excessively bulky/heavy construction. In this talk, I will introduce a new aerial platform. LASDRA, which, by utilizing distributed rotors as “external actuation”, can realize very long/slender, yet, still light/dexterous robotic systems. Implementations of this LASDRA for long-reach horizontal compliant manipulation/operation and for dragon-like articulated autonomous flying will be presented with the relevant design, estimation and control challenges elucidated.

Some other results of my laboratory related to those will also be introduced.

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Invited Speakers Invited Speaker <FIT1> Friday 1 November, 9:30 am – 10:00 am @ Chung Kunmo Conference Hall, 5th floor, bldg #E9 Chair: Hyun Myung, KAIST, Korea

Jun Jo, School of ICT, Griffith University, Australia Biography : Assoc. Professor Jun Jo was awarded his PhD degree from the University of Sydney. He has been working on computer vision and machine learning and their applications in various areas including satellite image analysis and MRI image analysis. He has published over 150 refereed publications. Dr Jo is currently taking the position of the President of Australian Robotics Association (ARA). Dr Jo is also the Program Director for Bachelor of Intelligent Digital Technologies (BIDT) degree program at Griffith University, Australia.

“Bushfire Surveillance from the Space” Abstract : Bushfires, or wildfires, are frequent events especially during the hot and dry months of the year.

Such fires impact extensive areas, causing severe property damage and loss of human life. Due to their fastspreading nature, wildfires are often detected when already beyond control and consequently cause billionscale effects in a very short time. Governments are looking for remote sensing methods for early wildfire detection, avoiding billion-dollar losses of damaged properties.

A research team at Griffith University is developing an autonomous and intelligent system built on top of imagery data streams, which is available from around-the-clock satellites, to monitor and prevent fire hazards from becoming disasters. However, satellite data pose unique challenges for image processing techniques, including temporal dependencies across time steps, the complexity of spectral channels, and adversarial conditions such as cloud and illumination. In this talk, I will discuss a novel multi-modal learning method that combines both satellite images and weather data in an advanced deep learning architecture for detecting and locating wildfires at both image and pixel level. Our system is built and tested on the Geostationary Operational Environmental Satellites (GOES-16) and Himawari-8 streaming data sources. Some experimental results will be presented and discussed.

Invited Speaker <SIT2> Saturday 2 November, 11:00 am – 11:30 am @ Chung Kunmo Conference Hall, 5th floor, bldg #E9 Chair: Hyun Myung, KAIST, Korea

Anwar P.P. Abdul Majeed, Universiti Malaysia Pahang, Malaysia Biography : Dr. Anwar P.P. Abdul Majeed graduated with a first class honours B.Eng. in Mechanical Engineering from Universiti Teknologi MARA (UiTM), Malaysia. He obtained an MSc. in Nuclear Engineering from Imperial College London, United Kingdom. He then received his PhD in Rehabilitation Robotics under the supervision of Prof. Dr. Zahari Taha from Universiti Malaysia Pahang (UMP). He is currently serving as a senior lecturer at the Faculty of Manufacturing Engineering, UMP. He is an active research member at the Innovative Manufacturing, Mechatronics and Sports Laboratory, UMP. His research

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Invited Speakers interest includes computational mechanics, applied mechanics, sports engineering, renewable and nuclear energy, sports performance analysis as well as machine learning.

“Machine Learning in Sports” Abstract : The application of machine learning in sports is non-trivial as the nature of the data involved in sporting activities are more often than not, complex, and hence, the conventional statistical techniques often fall short in providing meaningful insights. This talk will elucidate the application of various machine learning algorithms in evaluating sporting activities both in individual and team sports. This talk will be beneficial to relevant stakeholders embracing such state of the art evaluation techniques.

Invited Speaker <SIT3> Sunday 3 November, 10:00 am – 10:30 am @ Chung Kunmo Conference Hall, 5th floor, bldg #E9 Chair: Junmo Kim, KAIST, Korea

Jaesik Choi, Graduate School of AI, KAIST, Korea Biography : Education- University of Illinois at Urbana-Champaign, Ph.D. in Computer Science, May 2012 – Seoul National University, B.S. in Computer Engineering, magna cum laude, August 2004.

Bio- Currently, Graduate School of AI, KAIST Associate Professor since September 2019, Director, UNIST Explainable Artificial Intelligence Center, established by Ministry of Science and ICT, July 2017 – present.- Rising Star Distinguished Professor, UNIST, September 2018 – present.- Associate Professor, School of Electrical and Computer Engineering, UNIST, September 2017 – present.- Assistant Professor, School of Electrical and Computer Engineering, UNIST, July 2013 – August 2017.- Research Affiliate, Lawrence Berkeley National Laboratory, July 2013 – October 2018.- Postdoctoral Fellow, Lawrence Berkeley National Laboratory, January 2013 – July 2013.

“Explainable Artificial Intelligence for Reinforcement Learning” Abstract : As many complex AI systems are deloveped and used in our daily lives. It becomes important to interpret and explain the decision of complex AI systems. In this talk, I will overview various methods and perspective in explainable Artificial Intelligence (XAI) methods. Topics include interpretable deep neural networks models, Bayesian model compositions, and model agnostic approaches. Then, I will introduce recent methods to interpret complex decision in deep reinforcement learning.

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Tutorials Tutorial Lecture 1 Saturday 2 November, 9 am – 10:30 am @ Chung Kunmo Conference Hall, 5th floor, bldg #E9, KAIST

Youngchul Sung, KAIST, Korea Biography : Youngchul Sung received B.S. and M.S. degrees in Electronics Engineering from Seoul National University, Seoul, Korea in 1993 and 1995, respectively. After working at LG Information and Communications, Ltd. as a senior research engineer from 1995 to 2000, he joined the Ph.D. program and received Ph.D. degree in Electrical and Computer Engineering with Applied Mathematics as minor from Cornell University, Ithaca, NY, USA in 2005. From 2005 until 2007, he was a senior engineer in the Corporate R & D Center of Qualcomm, Inc., San Diego, CA, USA and participated in design of Qualcomm’s 3GPP R6 WCDMA base station modem. Since 2007 he has been on the faculty of the School of Electrical Engineering in KAIST, Daejeon, South Korea. For more biography, click here.

“Exponential Family, Divergence and Related Geometry” Abstract : Kullback-Leibler divergence is the universal divergence widely used in statistics and machine learning. It is always non-negative and is zero when two distributions are the same. Hence, it is considered as some kind of “distance” between two points in the space of probability distributions. This tutorial aims to provide a basic understanding of Kullback-Leibler divergence. The tutorial starts with maximum entropy principle and resulting exponential family of probability distributions. Then, it explains the dual geometry generated from the cumulant generating function of exponential family and the associated Bregman divergence, which coincides with Kullback-Leibler divergence in the case of exponential family, and explains the generalize Pythagorean theorem in the dual geometry. Furthermore, we deal with the invariance property of divergence.

Tutorial Lecture 2 Saturday 2 November, 2 pm – 3:30 pm @ Chung Kunmo Conference Hall, 5th floor, bldg #E9, KAIST

Jaegul Choo, Korea University, Korea Biography : Jaegul Choo is currently an assistant professor in the Dept. of Computer Science and Engineering at Korea University. He received M.S in the School of Electrical and Computer Engineering at Georgia Tech in 2009 and Ph.D in the School of Computational Science and Engineering at Georgia Tech in 2013, advised by Prof.

Haesun Park. From 2011 to 2014, he has been a research scientist at Georgia Tech.

During the summer in 2009 and 2010, he worked at National Visualization and Analytics Center (NVAC) in Pacific Northwest National Laboratory. He earned his B.S in the Dept. of Electrical and Computer Engineering at Seoul National University. For more biography, click here.

“Image-to-image translation via generative adversarial networks” Abstract : This talk will introduce state-of-the-art image-to-image translation approaches based on generative adversarial networks, including pix2pix, CycleGAN, and StarGAN. I will then conclude the talk with other advanced models as well as future research directions.

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AI World Cup 2019 Teams AI Soccer Teams (16 teams qualified for the Final Tournaments) Nr S1

Team Name mikolez

Organization KAIST

S2

K^2

KAIST

S3

KVILAB

KAIST

S4

PDNN

S5

AMISTA

Team Member Adil Karjauv Abilmansur Zhumabekov Jeehang Lee Kyujin Choi Taeyoung Kim

Country Korea Korea Korea

NHS

Sergiu Lucec

Romania

Masaryk University

Pavol Zat́ko

Slovakia

youngmin kim KAIST

Jaewoo Choi

Korea

Seho Kim S7

Sweden

KAIST

S8

CY95

KAIST

Dung Viet Nguyen

Korea

Gyeongmin Lee Yewon Hwang

Korea

Curie Kim Haram Joo S9

BML2019

KAIST

Junyeol Kim

Korea

Hyoungkyu Song S10

Delft-PR

Delft Technical University

Mohammad Mahdi Shirazi Alireza Zolanvari

Iran

Seunghee Lee S11

ASUS

KAIST

Hyun Myung Yunsoo Kim

Korea

Seulgi Jeon S12

Rebin

Amirkabir University of Technology

Nadia Moradi

University of Tehran

Ali Momen Sani

Amirkabir University of Technology

Atiyeh Pirmoradi

Iran

Ali Gavahi S13

Parsian

Amirkabir University of Technology

kian behzad

Iran

hossein sharifzadeh behzadi Sunkyung Lee S17

FC_velomass

KAIST

Jisu Kang

Korea

Joonhyuk1 Kim S18

FGLteam

KAIST

Lucas Avanci Gaudio

Korea

S19

LIDRO

Carnegie Mellon Univ.

Junwon Chang

USA

S21

The Invincibles

KAIST

Abdul Muiz Ahmad

Korea

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AI World Cup 2019 Teams AI Commentator Teams Nr

Team Name

Organization

C1

Deep_Soccer

University of Windsor

C2

BonaBory

Bory Inc.

C3

Ecozone

Ecozone

C4

SangSangPeople

C5

Atalmatal

C6

GGOBUGI

Amirkabir University of Technology University of Tehran Kwangwoon University Sunmoon University Tongmyoung University Sungkyunkwan University Soongsil university Purdue University

Team Member Zarreen Naowal Reza Yeonjeong Ko Jaemin Yun Jaemin Yun Yunsik Jeong Minseong Jee Sangbeom Park Jinyeong Kim Chanho Park Jaeseon Lee Yerin Kim Junseok Ko Atiyeh Pirmoradi Nadia Moradi Ali Momen Sani Soyoung Cho Hyunsoo Lee Minsu Kim Daejin Kim Gyuho Jeong Sunmin Lee

Country Canada

Korea

Korea Korea

Iran

Korea

USA

AI Journalist Teams Nr

Team Name

J1

Ecozone

J2

Shalgham

J3

SIIT_Journalist

Organization Ecozone University of Tehran Amirkabir University of Technology KAIST

Team Member Chan Ho Park Ali Momen Sani Nadia Moradi Atiyeh Pirmoradi Donggyu Joo

Country Korea Iran Korea

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RiTA 2019 Technical Program Details Friday 1 November Session #FO1 Oral Session Time/ Location: 10:00-11:00 am / Yang Seungtaik Auditorium (2F), Bldg #E9 Chair: Jens Lambrecht, Technische Universität Berlin, Germany

FO1-1

10:00-10:15 Online Adjustment of Two-Stage Inference for Knowledge Caching

Park, Geonha; Hwang, Changho KAIST, Korea

FO1-2

10:15-10:30 BALD-VAE: Generative Active Learning Based on the Uncertainties of Both Labeled and Unlabeled Data

Lee, Sun Kyung; Kim, Jong-Hwan KAIST, Korea

FO1-3

10:30-10:45 Multi-Channel Classification Resonance Network

Kim, Joonhyuk; Park, Gyeong-Moon; Kim, Jong-Hwan KAIST, Korea

FO1-4

10:45-11:00 Working Vacation Scheduling of MX/M/1/N System Using Neural Network

Park, Yongbee; Moon, Taesup Sungkyunkwan University, Korea

Friday 1 November Session #FO2 Oral Session Time/ Location: 11:30 am - 12:30 pm / Yang Seungtaik Auditorium (2F), Bldg #E9 Chair: JouhYeong Chew, National Institute of Advanced Industrial Science and Technology, Japan

FO2-1

11:30-11:45 Ballistic Object Trajectory and Launch Point Estimation from Radar Measurements Using Long-Short Term Memory Networks

Kim, Juhyung; Lim, Ming Chong; Park, Soon-Seo; Kim, Iksoo; Choi, Han-Lim KAIST, Korea

FO2-2

11:45-12:00 ECGDeepNET: A Deep Learning Approach for Classifying ECG Beats

Mahmud, Tanvir; Hossain, Abdul Rakib; Fattah, Shaikh Anowarul Bangladesh University of Engineering and Technology, Bangladesh

FO2-3

12:00-12:15 A Deep Learning Approach for Early Wildfire Detection from Hyperspectral Satellite Images

Nguyen, Thanh Toan; Phan, Thanh Cong; Nguyen, Quoc Viet Hung; Jo, Jun Ho Chi Minh City University of Technology, Vietnam

FO2-4

12:15-12:30 Robot Social Emotional Development through Memory Retrieval

Bui, Ha-Duong; Dang, Thi Le Quyen; Chong, Nak Young Japan Advanced Institute of Science and Technology, Japan

Friday 1 November Session #FP3 Poster Session Time/ Location: 3:45 pm - 4:45 pm / Sky Lounge (5F), Bldg #E9 Chair: Han-Lim Choi, KAIST, Korea

FP3-1

FP3-2

FP3-3

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A Multi-Storey Garage Smart Parking System Based on Image Processing Crisostomo, Chyn Ira; Malalis, Royce Val; Saysay, Romel; Baldovino, Renann De La Salle University, Philippines

Concept Design of Mole-Like Excavate Robot and Localization Method Lee, Junseok; Lim, Hyunjun; Song, Seungwon; Myung, Hyun KAIST, Korea

Which LSTM Type Is Better for Interaction Force Estimation?

Cho, Hyeon; Kim, HyungHo; KO, DAE-KWAN; Lim, Soo-Chul; Hwang, Wonjun Ajou Unviersity, Korea

RiTA 2019 Technical Program Details FP3-4

FP3-5

FP3-6

FP3-7

FP3-8

FP3-9

FP3-10

Conversion of Body Temperature from Skin Temperature Using Neural Network for Smart Band Kwak, Young-Tae; Yang, JiWon; You, YongDuck Chonbuk National University, Korea

Gesture Recognition and Effective Interaction Based Dining Table Cleaning Robot Moh, Jun Jie; Zhang, Bin; Lim, Hun-ok; Takafumi, Kijima Kanagawa University, Japan

D-ALICE: Domain Adaptation-Based Labeling the Human in Cartoon ImagE Kim, HyungHo; Cho, Hyeon; Choi, Ouk; Hwang, Wonjun Ajou Unviersity, Korea

Design of a Robot Controller for Peloton Formation Using Fuzzy Logic

Bedruz, Rhen Anjerome; Vicerra, Ryan Rhay; Concepcion, Ronnie II; DADIOS, Elmer P; Bandala, Argel De La Salle University, Philippines

Recognition of Personality Traits Using Word Vector from Reflective Context Bhin, Hyeonuk; Lim, Yoonseob; Choi, Jongsuk Korea Inst. of Sci. and Tech., Korea

Millimeter-Wave Radar and RGB-D Camera Sensor Fusion for Real-Time People Detection and Tracking Zewge, Natnael Shewangizaw; kim, Youngmin; Kim, Jintae; Kim, Jong-Hwan KAIST, Korea

A Robust Client-Server Architecture for Map Information Processing and Transmission for Distributed Visual SLAM Kim, Jintae; kim, Youngmin; Zewge, Natnael Shewangizaw; Kim, Jong-Hwan KAIST, Korea

FP3-11

FP3-12

FP3-13

FP3-14

FP3-15

Development of quality improvement system based on continuous conversation Yun, Jaemin; Shin, Dongchun; Jee, Minseong; Ko, Yeonjeong KAIST, Korea

Identifying well-annotated examples using multiple networks for robust training Lee, Jisoo; Chung, Sae-Young KAIST, Korea

Generative Memory with Selective Reconstruction Kwak, Jin Myung; Han, Moonsu; Hwang, Sung Ju KAIST, Korea

Use of Item Features for Initializing Item Embedding in Session-based Recommender Systems Lee, Kiwon; Lee, Yong H. KAIST, Korea

Human Pose Estimation using Sequential Stage Architecture and Dense Connections for Gesture Recognition Lee, Seunghee; Myung, Hyun KAIST, Korea

Saturday 2 November Session #SO1 Oral Session Time/ Location: 09:30-10:30 am / Yang Seungtaik Auditorium (2F), Bldg #E9 Chair: Anwar PP Abdul Majeed, Universiti Malaysia Pahang, Malaysia

SO1-1

09:30-09:45 A Fast Calibration Method for 3D Printing Robot Based on Distance Constraint

Ma, Kaiwei; Zhao, Tianzheng; Li, Lan; Adewale, Orelaja Oluseyi; Xia, Dan; Wang, Xingsong Southeast University, China

SO1-2

09:45-10:00 Development of a Virtual Environment to Realize Human-Machine Interaction of Forklift Operation

Chew, Jouh Yeong; Okayama, Ken; Okuma, Takashi; Kawamoto, Mitsuru; Onda, Hiromu; KATO, Norihiko National Institute of Advanced Industrial Science and Technology, Japan

SO1-3

10:00-10:15 Design and Development of a Simple Smart Self-Feeding Robot for Parkinsonâ&#x20AC;&#x2122;s Patients and Elder People

Luong Huu Thanh, Nam; Nguyen Truong, Thinh Ho Chi Minh City University of Technical Education, Vietnam

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RiTA 2019 Technical Program Details SO1-4

10:15-10:30 Orientation Correction for Hector SLAM at Starting Stage

Wei, Weichen; Shirinzadeh, Bijan; Chen, Chao; Esakkiappan, Shunmugasundar; Ghafarian, Mohammadali; Al-Jodah, Ammar Monash University, Australia

Saturday 2 November Session #SO2 Oral Session Time/ Location: 11:30 am - 12:30 pm / Yang Seungtaik Auditorium (2F), Bldg #E9 Chair: Dian Tjondronegoro, Griffith University, Australia

SO2-1

11:30-11:45 Attention Neural Networks for Pan-Tilt-Zoom Control with Active Hand-Off

Highlander, Tyler; Gallagher, John Wright State University, United States of America

SO2-2

11:45-12:00 Robust Few-Shot Pose Estimation of Articulated Robots Using Monocular Cameras and Deep-LearningBased Keypoint Detection

Lambrecht, Jens Technische Universität Berlin, Germany

SO2-3

12:00-12:15 Speech Enabled Social Robots Platform for Elderly Care Support

Nasr, Mahmoud; Karray, Fakhri; Quintana, Yuri University of Waterloo, Canada

SO2-4

12:15-12:30 Vision-Based Liquid Level Detection in Amber Glass Bottles Using OpenCV

Felipe, Mikhael Anthony; Olegario, Tanya; Bugtai, Nilo; Baldovino, Renann De La Salle University, Philippines

Saturday 2 November Session # SO3 Oral Session Time/ Location: 2:00 pm - 3:30 pm / Yang Seungtaik Auditorium (2F), Bldg #E9 Chair: Jin-Woo Jung, Dongguk University, Korea

SO3-1

14:00-14:15 Combining Local and Global Descriptors through Rotation Invariant Texture Analysis for Ulos Classification

Panggabean, Teamsar; Barus, Arlinta Del Institute of Technology, Indonesia

SO3-2

14:15-14:30 Expression Tracking with OpenCV Deep Learning for a Development of Emotionally Aware Chatbots

Carranza, Karmelo Antonio Lazaro; Manalili, Joshua Paul; Bugtai, Nilo; Baldovino, Renann De La Salle University, Philippines

SO3-3

14;30-14:45 Design of a RLS-Based Real-Time State Observer for Estimating Joint Accelerations and Inertias of a Robot Manipulator Lee, Sangdeok; Jung, Seul Chungnam National University, Korea

SO3-4

14:45-15:00 A Novel Flexible Bidirectional Bending Actuator with Large Angle

Pang, Jie; Tian, Mengqian; Wang, Xingsong; Lv, Jiadong; shen, donghua Southeast University, China

SO3-5

15:00-15:15 Development of Leap Motion Capture Based - Hand Gesture Controlled Interactive Quadrotor Drone Game

Bandala, Argel; Maningo, Jose Martin; Sybingco, Edwin; Vicerra, Ryan Rhay; DADIOS, Elmer P; Guillarte, Joshua; Salting, Julius Oigimer; Santos, Ma. Joyce Anne; Sarmiento, Basil Anton De La Salle University, Philippines

SO3-6

15:15-15:30 Preliminary Results on 2-D Simultaneous Localization and Mapping for Aerial Robots in Dynamics Environments

Simas, Manuel; Guerreiro, Bruno J.; Batista, Pedro Institute for Systems and Robotics / Instituto Superior TĂŠcnico, Portugal

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RiTA 2019 Technical Program Details Saturday 2 November Session #SP4 Poster Session Time/ Location: 4:45 pm - 5:45 pm / Sky Lounge (5F), Bldg #E9 Chair: Han-Lim Choi, KAIST, Korea

SP4-1

SP4-2

SP4-3

SP4-4

SP4-5

SP4-6

SP4-7

SP4-8

SP4-9

SP4-10

SP4-11

SP4-12

SP4-13

SP4-14

SP4-15

SP4-16

The Impact of AI on the Design of Reception Robot: A Case Study Nguyen Dao, Xuan Hai; Nguyen Truong, Thinh Ho Chi Minh City University of Technical Education, Vietnam

Object Detection for Similar Appearance Objects Based on Entropy Ju, Minjeong; Moon, Sangkeun; Yoo, Chang D. KAIST, Korea

Integrated Platform for Understanding Physical Prior & Task Learning Sharma, Namrata; Lee, Chang Hwa; Lee, Sang Wan KAIST, Korea

Cross-Domain Knowledge Transfer for Incremental Deep Learning in Facial Expression Recognition Sugianto, Nehemia; Tjondronegoro, Dian Griffith University, Australia

Dynamic Bird Detection Using Image Processing and Neural Network Jo, Jeongjin; Park, Junwon; Han, Jinyoung; Lee, Minsun; Smith, Anthony H. Chungnam National University, Korea

Smart Pillow: Sleep Apnea Monitoring and Minimization Device

Syeda, Zuriat-e-Zehra Ali; Rida, Ashfaq; Rameesa, afzal; Mehr, Un Nisa; Sultan, Babar; Abdul, Jalil NUST SEECS Islamabad Pakistan, Pakistan

Longitudinal Wheel Slip Regulation Using Nonlinear Autoregressive-Moving Average (NARMA-L2) Neural Controller Dajay, Ryan Christoper; EspaĂąola, Jason; Bandala, Argel; Bedruz, Rhen Anjerome; Vicerra, Ryan Rhay; DADIOS, Elmer P De La Salle University, Philippines

A Time-Delayed Control Scheme with a Sliding Mode Controller for a Robot Manipulator Jung, Seul Chungnam National University, Korea

Optimal Path Planning of Automated Guided Vehicle Using Dijkstra Algorithm under Dynamic Conditions Kim, Sungkwan; Jin, Hojun; Seo, Minah; Har, Dongsoo KAIST, Korea

Circumscribed Douglas-Peucker Polygonal Approximation for Curvilinear Obstacle Representation Jung, Jin-woo; So, Byung-Chul; Kang, Jin-Gu; Jang, Woo-Jin Dongguk University, Korea

Adaptive Fuzzy Control for Autonomous Robot under Complex Environment Tuong Phuoc, Tho; Nguyen Truong, Thinh; Nguyen Phuong, Nam Ho Chi Minh City University of Technical Education, Vietnam

Study on Path Planning of Intelligent Mower Based on UWB Location Liu, Yang; Wang, Xingsong; Tian, Mengqian; Lv, Jiadong SouthEast University, China

Emerging UAV Applications in Agriculture

Lemma, Lebsework Negash; Kim, Ho-Yeon; Choi, Han-Lim KAIST, Korea

BCI-Controlled Smart Wheelchair for Amyotrophic Lateral Sclerosis Patients

Espiritu, Noelle Marie; Chen, Senrong Ainsley; Blasa, Tiffany Ann; Munsayac, Francisco Emmanuel; Arenos, Rebecca; Baldovino, Renann; Bugtai, Nilo; Co, Homer De La Salle University, Philippines

Dynamic Peloton Formation Configuration Algorithm of Swarm Robots for Aerodynamic Effects Optimization Bedruz, Rhen Anjerome; Maningo, Jose Martin; Fernando, Arvin; Bandala, Argel; Vicerra, Ryan Rhay; DADIOS, Elmer P De La Salle University, Philippines

Out-of-distribution detection using feature encoder Yun, Juseung; Kim, Junmo KAIST, Korea

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Hotel Information / Shuttle Bus Schedule Ramada Daejeon Hotel Address : 127 Gyeryong-ro, Bongmyeong-dong, Yuseong-gu, Daejeon ‌ Phone : 042-540-1000, 042-540-1001 Subway : Yuseong Spar Subway Station (Line #1), Way out #8, 4 min walking distance Email : reservation@ramadadaejeon.com Website : https://www.ramadadaejeon.com/

Shuttle Bus Schedule Friday 1 Nov

Saturday 2 Nov

Sunday 3 Nov

Ramada Hotel to KAIST

08:30 am – 09:00 am

08:30 am – 09:00 am

09:00 am – 09:30 am

KAIST to Ramada Hotel

08:00 pm – 08:30 pm

08:00 pm – 08:30 pm

02:30 pm – 03:00 pm

KAIST Campus Map

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