34 citations · 39 across the 9 of their papers we have counts for
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cs.LG2026
EgoNeMo: Transferable Map of Pedestrian Dynamics via Egocentric LiDAR Scan
Azusa Sawada, Allan Wang, Hideo Saito +1
This paper proposes a transferable Map of Dynamics (MoD) framework that generalizes to unknown environments using only egocentric 3D LiDAR point clouds to overcome the long-standin…
cs.RO2026
LiDAR-based Crowd Navigation with Visible Edge Group Representation
Allan Wang, Aaron Steinfeld
Robot navigation in crowded pedestrian environments is a well-known challenge and we explore the practical deployment of group-based representations in this setting. Pedestrian gro…
cs.RO2026
HiCrowd: Hierarchical Crowd Flow Alignment for Dense Human Environments
Yufei Zhu, Shih-Min Yang, Martin Magnusson +1
Navigating through dense human crowds remains a significant challenge for mobile robots. A key issue is the freezing robot problem, where the robot struggles to find safe motions a…