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10/14/2022
Hierarchical Policy Blending as Inference for Reactive Robot Control
Motion generation in cluttered, dense, and dynamic environments is a cen...
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09/08/2022
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion
Multi-objective optimization problems are ubiquitous in robotics, e.g., ...
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04/11/2022
Learning Implicit Priors for Motion Optimization
In this paper, we focus on the problem of integrating Energy-based Model...
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03/08/2022
A Hierarchical Approach to Active Pose Estimation
Creating mobile robots which are able to find and manipulate objects in ...
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10/22/2021
Learning Stable Vector Fields on Lie Groups
Learning robot motions from demonstration requires having models that ar...
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05/11/2021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
Reactive motion generation problems are usually solved by computing acti...
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12/11/2020
Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems
We present a new family of deep neural network-based dynamic systems. Th...
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10/25/2020
ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows
We introduce ImitationFlow, a novel Deep generative model that allows le...
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06/24/2019
Generalized Multiple Correlation Coefficient as a Similarity Measurements between Trajectories
Similarity distance measure between two trajectories is an essential too...
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06/24/2019