Se (3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion
Multi-objective optimization problems are ubiquitous in robotics, eg, the optimization of a
robot manipulation task requires a joint consideration of grasp pose configurations …
robot manipulation task requires a joint consideration of grasp pose configurations …
Probabilistic adaptation of text-to-video models
Large text-to-video models trained on internet-scale data have demonstrated exceptional
capabilities in generating high-fidelity videos from arbitrary textual descriptions. However …
capabilities in generating high-fidelity videos from arbitrary textual descriptions. However …
Regularized deep signed distance fields for reactive motion generation
Autonomous robots should operate in real-world dynamic environments and collaborate
with humans in tight spaces. A key component for allowing robots to leave structured lab and …
with humans in tight spaces. A key component for allowing robots to leave structured lab and …
Compositional diffusion-based continuous constraint solvers
This paper introduces an approach for learning to solve continuous constraint satisfaction
problems (CCSP) in robotic reasoning and planning. Previous methods primarily rely on …
problems (CCSP) in robotic reasoning and planning. Previous methods primarily rely on …
Probabilistic Adaptation of Black-Box Text-to-Video Models
Large text-to-video models trained on internet-scale data have demonstrated exceptional
capabilities in generating high-fidelity videos from arbitrary textual descriptions. However …
capabilities in generating high-fidelity videos from arbitrary textual descriptions. However …