PLENARY SPEECHES

Plenary I-1

Leveraging Generative AI for Robotics and Intelligent Systems Research

Time slot: TBA, Dec. 16th, 2023

Prof. Huseyin Atakan Varol, PhD.

Nazarbayev University, Kazakhstan

Prof. Huseyin Atakan Varol received his B.S. degree in mechatronics engineering from Sabanci University, Istanbul, Turkey, in 2005, and M.S. and Ph.D. degrees in electrical engineering from Vanderbilt University, Nashville, TN, USA, in 2007 and 2009, respectively. He was a postdoctoral research associate and then a research assistant professor at Vanderbilt University from 2009 to 2011. In 2011, he joined the faculty of Nazarbayev University, Astana, Kazakhstan, where he currently chairs the Department of Robotics and Mechatronics and directs the Institute of Smart Systems and Artificial Intelligence (ISSAI). His research interests include machine learning, computer vision, soft robotics, sensor fusion, synthetic data and tensegrity. He has published over 100 technical papers on related topics in international journals and conferences.

Dr. Varol was a finalist for the KUKA Innovation Award in 2014. He was also the recipient of the IEEE International Conference on Rehabilitation Robotics Best Paper Award in 2009, and the IEEE Engineering in Medicine and Biology Society Outstanding Paper Award in 2013. He served as a technical and associate editor for prominent journals and conferences.

Abstract

The past few years have witnessed groundbreaking advances in generative AI, including the proliferation of Generative Adversarial Networks (GANs), robust reinforcement learning frameworks, large language models and novel data synthesis methods. This talk will unveil these breakthroughs and their transformative impact on accelerating robotics and intelligent systems research. With the advent of refined synthetic data generation capabilities, as manifested in photorealistic simulators such as Nvidia's Isaac Sim, a plethora of new research opportunities have opened up. These advancements enable the creation of accurately simulated environments, which in turn accelerate the development and validation of robotics algorithms. At the Institute of Smart Systems and Artificial Intelligence (ISSAI), we are capitalizing on these technological advancements to propel forward robotics and AI research. The talk will first present our data-centric approach to object recognition with hemispherical camera images. Afterward, we will present our approach to synthetic data generation in simulated environments for improving human pose estimation. Then, we will illustrate how we cope with the sim-to-real transfer for reinforcement learning agents via domain randomization and additional real-world training.

Plenary I-2

Title: Coming soon

Time slot: TBA, Dec. 16th, 2023

Sewan Choi

Seoul National Univ. of Science and Technology, KR

Biography

Sewan Choi received the M.S. and Ph.D. degrees in electrical engineering from Texas A&M University, College Station, TX, in 1992 and 1995, respectively. From 1985 to 1990, he was with Daewoo Heavy Industries as a Research Engineer. From 1996 to 1997, he was a Principal Research Engineer at Samsung Electro-Mechanics Co., Korea. In 1997, he joined the Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul, Korea,

Abstract

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