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Found 4 papers, 1 papers with code
Stein Variational Model Predictive Control
By casting MPC as a Bayesian inference problem, we employ variational methods for posterior computation, naturally encoding the complexity and multi-modality of the decision making problem.
Reactive Long Horizon Task Execution via Visual Skill and Precondition Models
Zero-shot execution of unseen robotic tasks is important to allowing robots to perform a wide variety of tasks in human environments, but collecting the amounts of data necessary to train end-to-end policies in the real-world is often infeasible.
Motion Policy Networks
Collision-free motion generation in unknown environments is a core building block for robot manipulation.
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
CabiNet is a collision model that accepts object and scene point clouds, captured from a single-view depth observation, and predicts collisions for SE(3) object poses in the scene.
