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Viktor Makoviychuk
Viktor Makoviychuk
Viktor is a Senior Software Engineer and Researcher at NVIDIA, based in Santa Clara, CA. His work lies at the intersection of simulation, robotics, and reinforcement learning. He is one of the core developers of Isaac Gym, as well as the first author of several research papers on GPU simulation and distributed reinforcement learning for robotic locomotion, dexterous manipulation, and physics-based animation.
Gavriel State
Gavriel State
Gavriel State is a Senior Director for Simulation and AI at NVIDIA, based in Toronto. He leads efforts involving applications of AI technology to simulation systems and vice versa. Previously, Gavriel founded TransGaming Inc, and spent 15 years focused on games and rendering technologies.
Rika Antonova
Rika Antonova
Rika is a postdoctoral scholar at Stanford IPRL lab and a recipient of a CI Fellowship from NSF/CRA for research on active learning of transferable priors, kernels, and latent representations for robotics. She completed her PhD at KTH on data-efficient sim2real transfer.
Rika is collaborating with NVIDIA on open-sourcing the BayesSim inference engine.
Yashraj Narang
Yashraj Narang
Yash is a Research Scientist at NVIDIA’s Seattle Robotics Lab, directed by Dieter Fox. He completed his PhD at Harvard University under Robert Howe. His research interests include deformable object grasping, industrial manipulation, tactile sensing, sim-to-real transfer, differentiable simulation, and soft robotics.
Yuke Zhu
Yuke Zhu
Yuke is an Assistant Professor in Computer Science at UT-Austin and a Research Scientist at NVIDIA. He received his Ph.D. from Stanford University in 2019. His research lies at the intersection of robotics, computer vision, and machine learning.
Josiah Wong
Josiah Wong
Josiah is a master’s student at Stanford University and part of the People, AI, and Robotics (PAIR) lab, directed by Fei-Fei Li. His research interests include sim-to-real transfer, multi-agent robotics, and mobile manipulation.
Nikita Rudin
Nikita Rudin
Nikita Rudin received his B.Sc. in Microengineering from EPFL and M.Sc. in Robotics, Systems, and Control from ETH Zurich. He is now pursuing a Ph.D. at the Robotic Systems Lab, ETH Zurich in collaboration with NVIDIA. His research interests include applications of learning methods to the control of robotic systems and robotic space exploration.
Jacky Liang
Jacky Liang
Jacky is a PhD student at Carnegie Mellon University's Robotics Institute and an NSF Fellow. His research interests include learning for manipulation, sim-to-real transfer, and combining learning and planning techniques. Jacky previously interned with Nvidia to work on applying GPU-accelerated simulations to robot learning.
Arthur Allshire
Arthur Allshire
University of Toronto / Vector Institute
Isabella Huang
Isabella Huang
UC Berkeley / NVIDIA Research
Ankur Handa
Ankur Handa
Ankur is a Senior Research Scientist at NVIDIA’s Seattle Robotics group led by Dieter Fox. Prior to that he was a Research Scientist at OpenAI and a Dyson Fellow at Imperial College London. He finished his PhD with Andrew Davison at Imperial College London and a post-doc with Roberto Cipolla at the University of Cambridge. His papers have won Best Industry Paper Award at BMVC 2014, as well as Best Manipulation Paper Finalist and Best Student Paper Finalist at ICRA 2019.
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