182 citations · 874 across the 39 of their papers we have counts for
4 papers · 1 filter
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter
Hanbo Zhang, Yunfan Lu, Cunjun Yu +3
This paper presents INVIGORATE, a robot system that interacts with human through natural language and grasps a specified object in clutter. The objects may occlude, obstruct, or ev…
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation
Peter Karkus, Shaojun Cai, David Hsu
Simultaneous localization and mapping (SLAM) remains challenging for a number of downstream applications, such as visual robot navigation, because of rapid turns, featureless walls…
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects
Xiao Ma, David Hsu, Wee Sun Lee
Manipulating deformable objects, such as ropes and clothing, is a long-standing challenge in robotics, because of their large degrees of freedom, complex non-linear dynamics, and s…
Closing the Planning-Learning Loop with Application to Autonomous Driving
Panpan Cai, David Hsu
Real-time planning under uncertainty is critical for robots operating in complex dynamic environments. Consider, for example, an autonomous robot vehicle driving in dense, unregula…