We focus on the problem of rearranging multiple objects within a constrained workspace via pushing using a team of car-like robots. While the use of multiple robots offers the potential for more efficient execution, the need for conflict resolution and the kinematic constraints arising from physics, robot design, and t...
It is suggested that effective legible motion in social robot navigation benefits from interaction-level intent representations that support coordination, with some effects persisting even when human attention is divided.
Pranav Goyal, Andrew Stratton, Christoforos Mavrogiannis· 0 citations
PROACT is introduced, a framework for human-robot collaborative transport that incorporates anticipation into compliant whole-body control through a learned model of human collaborative behavior, and transformer architecture distills collaborative behavior into predictions of future object motion.
ACME is a large and diverse multi-modal dataset aimed at advancing social navigation research, providing 29.35 hours of onboard robot data and 43.5 hours of overhead pedestrian tracking data that captures more challenging scenarios and a broader distribution of pedestrian behavior than previous datasets.
Shashank Rao Marpally, Allan Wang, Atharva Ghotavadekar et al.· arXiv.org· 1 citation
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