4 papers
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…
ACME: A Multi-Cultural, Multi-Embodiment Social-Navigation Dataset
Shashank Rao Marpally, Allan Wang, Atharva Ghotavadekar +35
Understanding how robots and humans move in shared spaces is essential for designing effective social robot navigation policies and predicting human behavior. However, existing dat…
Person Transfer in the Field: Examining Real World Sequential Human-Robot Interaction Between Two Robots
Xiang Zhi Tan, Elizabeth J. Carter, Aaron Steinfeld
With more robots being deployed in the world, users will likely interact with multiple robots sequentially when receiving services. In this paper, we describe an exploratory field…
TBD Pedestrian Data Collection: Towards Rich, Portable, and Large-Scale Natural Pedestrian Data
Allan Wang, Daisuke Sato, Yasser Corzo +3
Social navigation and pedestrian behavior research has shifted towards machine learning-based methods and converged on the topic of modeling inter-pedestrian interactions and pedes…