Jasper is currently a Junior at the University of Washington in the Aeronautics and Astronautics department with interests in robotics and fluids. He is working on developing robotic trajectory planning algorithms for proactive and safe human-robot interactions, such as for social navigation. When not doing research and school, he spends his time outdoors skiing, hiking and mountain biking.
Jasper is currently a 2023-24 Levinson Scholar.
Publications
Legible and Proactive Robot Planning for Prosocial Human-Robot Interactions
Geldenbott, J.,
and Leung, K.
In Proc. IEEE Conf. on Robotics and Automation,
2024
(accepted)
Humans have a remarkable ability to fluently engage in joint collision avoidance in crowded navigation tasks despite the complexities and uncertainties inherent in human behavior. Underlying these interactions is a mutual understanding that (i) individuals are prosocial, that is, there is equitable responsibility in avoiding collisions, and (ii) individuals should behave legibly, that is, move in a way that clearly conveys their intent to reduce ambiguity in how they intend to avoid others. Toward building robots that can safely and seamlessly interact with humans, we propose a general robot trajectory planning framework for synthesizing legible and proactive behaviors and demonstrate that our robot planner naturally leads to prosocial interactions. Specifically, we introduce the notion of a markup factor to incentivize legible and proactive behaviors and an inconvenience budget constraint to ensure equitable collision avoidance responsibility. We evaluate our approach against well-established multi-agent planning algorithms and show that using our approach produces safe, fluent, and prosocial interactions. We demonstrate the real-time feasibility of our approach with human-in-the-loop simulations.