Arjun Krishna
I am a CS PhD student at the University of Pennsylvania advised by Prof. Dinesh Jayaraman. I am broadly interested in the field of Robot Learning.
I received my Master’s degree from Georgia Tech where I was fortunate to be advised by Prof. Matthew Gombolay. I obtained my bachelor’s degree in CS from IIT Madras and was introduced to RL research there by Prof. Balaraman Ravindran. I also worked as a Software Engineer in the space of RecSys and Advertisement Bidding at Indeed Japan for about 3 years before returning to academia.

Publications

The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration
The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration
Kin Man Lee*, Arjun Krishna*, Zulfiqar Zaidi, Rohan Paleja, Letian Chen, Erin Hedlund-Botti, Mariah Schrum, Matthew Gombolay
HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
[article]
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis
Zulfiqar Zaidi*, Daniel Martin*, Nathaniel Belles, Viacheslav Zakharov, Arjun Krishna, Kin Man Lee, Peter Wagstaff, Sumedh Naik, Matthew Sklar, Sugju Choi, Yoshiki Kakehi, Ruturaj Patil, Divya Mallemadugula, Florian Pesce, Peter Wilson, Wendell Hom, Matan Diamond, Bryan Zhao, Nina Moorman, Rohan Paleja, Letian Chen, Esmaeil Seraj, Matthew Gombolay
IEEE Robotics and Automation Letters (presented at IROS'23)
[arxiv] [overview-video] [promo-video]
AsymQ: Asymmetric Q-Loss to mitigate overestimation bias in off-policy reinforcement learning
AsymQ: Asymmetric Q-Loss to mitigate overestimation bias in off-policy reinforcement learning
Qinsheng Zhang*, Arjun Krishna*, Sehoon Ha, Yongxin Chen
NeurIPS-W 2022 (DeepRL workshop)
[pre-print]
Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis
Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis
Arjun Krishna, Zulfiqar Zaidi, Letian Chen, Rohan Paleja, Esmaeil Seraj, Matthew Gombolay
CoRL-W 2022 (Learning for Agile Robots workshop)
[arxiv] [poster] [video]
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