2 citations · 5 across the 19 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.RO2023
Model-Based Control with Sparse Neural Dynamics
Ziang Liu, Genggeng Zhou, Jeff He +4
Learning predictive models from observations using deep neural networks (DNNs) is a promising new approach to many real-world planning and control problems. However, common DNNs ar…
cs.RO2023
Learning to Design and Use Tools for Robotic Manipulation
Ziang Liu, Stephen Tian, Michelle Guo +2
When limited by their own morphologies, humans and some species of animals have the remarkable ability to use objects from the environment toward accomplishing otherwise impossible…
cs.RO2023
Diffusion Co-Policy for Synergistic Human-Robot Collaborative Tasks
Eley Ng, Ziang Liu, Monroe Kennedy
Modeling multimodal human behavior has been a key barrier to increasing the level of interaction between human and robot, particularly for collaborative tasks. Our key insight is t…