Paper Published: 'Learning Implicit Social Navigation Behavior using Deep Inverse Reinforcement Learning', available online.
Research Experience
PhD Thesis: 'Motion and Behavior Planning for Socially Assistive Robots'; Worked on a robot tour guide project at the University of Michigan Museum of Art (UMMA).
Education
PhD: Robotics from the University of Michigan, co-advised by Prof. Maani Ghaffari Jadidi and Prof. X. Jessie Yang; Master's Degree: Robotics from the University of Michigan, graduated in 2020.
Background
Research Interests: Motion and behavior planning for assistive robots, utilizing inverse reinforcement learning to develop adaptive frameworks for robots navigating dynamic environments. The goal is to enable these robots to navigate seamlessly in human-designed spaces, enhancing their ability to interact and assist within complex and structured surroundings.