45 citations · 102 across the 25 of their papers we have counts for
25 papers
MultiPush: Learning to Rearrange with Teams of Car-Like Pushers
Jeeho Ahn, Christoforos Mavrogiannis
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 pote…
Learning from Humans for Proactive Assistance in Human-Robot Collaborative Transport
Elvin Yang, Christoforos Mavrogiannis
We focus on human-robot collaborative transport, a challenging task of broad relevance spanning logistics, manufacturing, and the home, in which a user and a robot work together to…
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…
Bi3: A Biplatform, Bicultural, Biperson Dataset for Social Robot Navigation
Andrew Stratton, Phani Teja Singamaneni, Pranav Goyal +2
We contribute Bi3, a dataset of social robot navigation among groups of people in a constrained lab space. Compared to prior data collection efforts for social robot navigation, ou…
ReloPush-BOSS: Optimization-guided Nonmonotone Rearrangement Planning for a Car-like Robot Pusher
Jeeho Ahn, Christoforos Mavrogiannis
We focus on multi-object rearrangement planning in densely cluttered environments using a car-like robot pusher. The combination of kinematic, geometric and physics constraints und…
How Human Motion Prediction Quality Shapes Social Robot Navigation Performance in Constrained Spaces
Andrew Stratton, Phani Teja Singamaneni, Pranav Goyal +2
Motivated by the vision of integrating mobile robots closer to humans in warehouses, hospitals, manufacturing plants, and the home, we focus on robot navigation in dynamic and spat…