9 citations · 11 across the 5 of their papers we have counts for
5 papers
Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling
Tal Daniel, Carl Qi, Dan Haramati +5
We introduce Latent Particle World Model (LPWM), a self-supervised object-centric world model scaled to real-world multi-object datasets and applicable in decision-making. LPWM aut…
Learning Generalizable Tool-use Skills through Trajectory Generation
Carl Qi, Yilin Wu, Lifan Yu +4
Autonomous systems that efficiently utilize tools can assist humans in completing many common tasks such as cooking and cleaning. However, current systems fall short of matching hu…
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation
Xingyu Lin, Carl Qi, Yunchu Zhang +5
Effective planning of long-horizon deformable object manipulation requires suitable abstractions at both the spatial and temporal levels. Previous methods typically either focus on…
Learning Closed-loop Dough Manipulation Using a Differentiable Reset Module
Carl Qi, Xingyu Lin, David Held
Deformable object manipulation has many applications such as cooking and laundry folding in our daily lives. Manipulating elastoplastic objects such as dough is particularly challe…
Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning
Carl Qi, Pieter Abbeel, Aditya Grover
The goal of imitation learning is to mimic expert behavior from demonstrations, without access to an explicit reward signal. A popular class of approach infers the (unknown) reward…