About Me

I am a current Robotics Ph.D. Student at the Institute of Robotics and Intelligent Machines at the Georgia Institute of Technology.

My research lies at the intersection of Human-Robot Interaction and Machine Learning. I develop algorithms so that artificial agents can better understand their human partners.

Previous to joining Georgia Tech, I received an M.Sc. in Mechanical Engineering in 2018 and a B.Sc. in Mechanical Engineering with a concentration in Aerospace Engineering in 2017.


News

  • December 2021: Our paper Learning Efficient Diverse Communication for Cooperative Heterogeneous Teaming has been accepted to AAMAS 2022. Thanks to my co-authors Esmaeil Seraj, Zheyuan Wang, Matthew Sklar, Daniel Martin, and my advisor Dr. Matthew Gombolay.
  • November 2021: Our paper Using Machine Learning to Predict Perfusionists’ Critical Decision-Making during Cardiac Surgery has been accepted to the Jounral on Compute Methods in Biomechanics and Biomedical Engineering.
  • October 2021: Our paper The Utility of Explainable AI in Ad Hoc Human-Machine Teaming was accepted to NeurIPS 2021. Thanks to my co-authors Muyleng Ghuy, Nadun Ranawaka Arachchige, Reed Jensen, and my adviosr Dr. Matthew Gombolay.
  • October 2021: Our paper MAGIC: Multi-Agent Graph Attention Communication was accepted to the ICCV 2021 workshop on Multiagent Interaction and Relational Reasoning (MAIR2) and won a Best Workshop Paper award.
  • September 2021: Our paper Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration was accepted to the AAAI Artificial Intelligence for Human-Robot Interaction (AI-HRI) Fall Symposium.
  • May 2021: I was awarded the Outstanding Graduate Teaching Assistant Award for the School of Interactive Computing at the Georgia Institute of Technology.
  • March 2021: Our paper Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations was accepted to the AAMAS Autonomous Robots and Multirobot Systems (ARMS) Workshop.
  • December 2020: Our paper Multi-Agent Graph Attention Communication and Teaming has been accepted to AAMAS 2021. Thanks to my co-author Yaru Niu, and my advisor Dr. Matthew Gombolay!
  • December 2020: Our paper Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy has been accepted to HRI 2021. Thanks to my co-authors Mariah Schrum, Glen Neville, Michael Johnson, Nina Moorman, Dr. Feigh, and my advisor Dr. Matthew Gombolay!
  • October 2020: Our paper at CoRL 2020 titled Learning from Suboptimal Demonstration via Self-Supervised Reward Regression received a best paper nomination! Thanks to my co-author Letian Chen, and my advisor Dr. Matthew Gombolay!
  • October 2020: Our paper has been accepted to NeurIPS 2020 titled Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations. Thanks to my co-authors Andrew Silva, Letian Chen, and my advisor Dr. Matthew Gombolay!
  • April 2020: I’ve passed my PhD qualifying exam and am officially a Robotics PhD Student!
  • January 2020: Our conference paper on Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation was accepted to the ACM International Conference on Human-Robot Interaction (HRI’ 2020)


Affiliations


Contact

Get in Touch

Atlanta, GA 30318
USA
rohanpaleja123{at}gmail.com

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