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20242026
most citedStranger Danger! Identifying and Avoiding Unpredictable Pedestrians in RL-based Social Robot Navigation

7 citations · 13 across the 7 of their papers we have counts for

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cs.RO2026

GLST: Global-Local Spatio-Temporal Memory Decomposition Framework for Online Chained-Goal Navigation

Yousef Liang, Ryan Ardalan, Yarden Goraly +6

Autonomous navigation in real-world environments often requires long-horizon operation under partial observability and evolving goals. Existing mapless navigation approaches predom…

cs.RO2026

Morphometric Imitation: From Morphology and Contact Aware Hand Retargeting to Sim-to-Real Visuomotor Policy

Tara Sadjadpour, Siming He, C. K. Wolfe +5

Human hand-object interactions (HOIs) provide a rich source of demonstrations for dexterous manipulation, but learning directly from them presents challenges in bridging morphology…

cs.RO2026

FARM: Find Anything using Relational Spatial Memory

Siming He, Leo Huang, Adam Lilja +6

Robots operating in homes, warehouses, and other object-rich environments need memory systems that can find specific object instances on demand. Object-level memory alone is often…

cs.RO2024

Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty

Sara Pohland, Claire Tomlin

Perception-based navigation systems are useful for unmanned ground vehicle (UGV) navigation in complex terrains, where traditional depth-based navigation schemes are insufficient.…

cs.RO2024★ 7 cited

Stranger Danger! Identifying and Avoiding Unpredictable Pedestrians in RL-based Social Robot Navigation

Sara Pohland, Alvin Tan, Prabal Dutta +1

Reinforcement learning (RL) methods for social robot navigation show great success navigating robots through large crowds of people, but the performance of these learning-based met…