From the 1 of 19 linked papers with an AI index.
4 citations · 4 across the 3 of their papers we have counts for
4 papers · 1 filter
Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies
Haojie Huang, Karl Schmeckpeper, Dian Wang +6
Humans can imagine goal states during planning and perform actions to match those goals. In this work, we propose Imagination Policy, a novel multi-task key-frame policy network fo…
OrbitGrasp: -Equivariant Grasp Learning
Boce Hu, Xupeng Zhu, Dian Wang +5
While grasp detection is an important part of any robotic manipulation pipeline, reliable and accurate grasp detection in remains a research challenge. Many robotics applic…
Equivariant Reinforcement Learning under Partial Observability
Hai Nguyen, Andrea Baisero, David Klee +3
Incorporating inductive biases is a promising approach for tackling challenging robot learning domains with sample-efficient solutions. This paper identifies partially observable d…
Equivariant Offline Reinforcement Learning
Arsh Tangri, Ondrej Biza, Dian Wang +3
Sample efficiency is critical when applying learning-based methods to robotic manipulation due to the high cost of collecting expert demonstrations and the challenges of on-robot p…