Jasper Geldenbott

Publications

1. 

   Legible and Proactive Robot Planning for Prosocial Human-Robot Interactions

   Geldenbott, J., and Leung, K.

   In Proc. IEEE Conf. on Robotics and Automation, 2024

   Abstract Arxiv Bib

   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 \textitprosocial, that is, there is equitable responsibility in avoiding collisions, and (ii) individuals should behave \textitlegibly, 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 \textitmarkup factor to incentivize legible and proactive behaviors and an \textitinconvenience 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.

   @inproceedings{GeldenbottLeung2024,
     author = {Geldenbott, J. and Leung, K.},
     booktitle = {{Proc.\ IEEE Conf.\ on Robotics and Automation}},
     title = {{Legible and Proactive Robot Planning for Prosocial Human-Robot Interactions}},
     year = {2024},
     arxiv = {2404.03734},
     category = {interaction},
     img = {GeldenbottLeung2024.png},
     selected = {true},
     owner = {karenl7}
   }