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About Me
About Me
I am a Robotics Software Engineer at iRobot. I graduated with an MS in Mechanical Engineering from The University of Texas at Austin, where I was supervised by Prof. Peter Stone and Prof. Ashish Deshpande. My research is on using curriculum learning in reinforcement learning to enable faster and efficient human motor skill acquisition. I am also a member of Austin Villa Standard Platform League team, where I primarily work on motion planning for bipedal nao robots.
I received my Bachelor of Technology (Honors) degree in Mechanical Engineering from the Indian Institute of Technology, Kharagpur in May 2019.
I am currently looking for full-time job opportunities in Robotics and AI.
Conference Papers
Conference Papers
Keya Ghonasgi, Reuth Mirsky, Sanmit Narvekar, Bharath Masetty, Adrian Haith, Peter Stone, and Ashish Deshpande. Capturing Skill State in Curriculum Learning for Human Skill Acquisition. International Conference on Robotics and Automation 2021. [under review]
Bharath Masetty, Reuth Mirsky, Ashish Deshpande, Michael Mauk, and Peter Stone. Is the Cerebellum a Model-Based Reinforcement Learning Agent?. In Proc. of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), London, UK, May 3–7, 2021,IFAAMAS, 5 pages [under review]
Workshop Papers
Workshop Papers
Keya Ghonasgi, Reuth Mirsky, Bharath Masetty, Sanmit Narvekar, Adrian Haith, Peter Stone, and Ashish Deshpande. Leveraging Reinforcement Learning for Human Motor Skill Acquisition. In Social AI for Human-Robot Interactions of Human-Care Service Robots Workshop at the International Conference on Intelligent Robots and Systems (IROS), Las Vegas, Nevada, October 25-29, 2020.
Suna Guo, Bharath Masetty,Ruohan Zhang, Dana Ballard, Mary Hayhoe. Modeling human multitasking behavior in video games through modular reinforcement learning.Vision Science Society 2020.
Teaching
Teaching
Summer 2020: Teaching Assistant for CS W394R Reinforcement Learning - Theory & Practice
Jan 2020 - December 2020: Teaching Assistant for PHY 117M Mechanics Laboratory
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