Tribhi Kathuria — accepted AI-conference papers

2025

Learning Implicit Social Navigation Behavior Using Deep Inverse Reinforcement Learning

Tribhi Kathuria, Ke Liu, Junwoo Jang, X. Jessie Yang, Maani Ghaffari

RA-L 2025

This paper reports on learning a reward map for social navigation in dynamic environments where the robot can reason about its path at any time, given agent trajectories and scene geometry. Humans navigating in dense and dynamic indoor environments often work with several implied social rules. A rul

Cited by 6 Source ↗code ↗Scholar ↗

2023

SoLo T-DIRL: Socially-Aware Dynamic Local Planner based on Trajectory-Ranked Deep Inverse Reinforcement Learning

Yifan Xu, Theodor Chakhachiro, Tribhi Kathuria, Maani Ghaffari

ICRA 2023poster

This work proposes a novel framework for socially-aware robot navigation in dynamic, crowded environments using a Deep Inverse Reinforcement Learning. To address the social navigation problem, our multi-modal learning based planner explicitly considers social interaction factors, as well as social-a…

Cited by 3 Source ↗code ↗Scholar ↗