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02/22/2022
Differentiable and Learnable Robot Models
Building differentiable simulations of physical processes has recently r...
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09/24/2020
Learning Equality Constraints for Motion Planning on Manifolds
Constrained robot motion planning is a widely used technique to solve co...
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06/29/2020
Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed
Robots need to be able to adapt to unexpected changes in the environment...
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06/13/2020
Learning Manifolds for Sequential Motion Planning
Motion planning with constraints is an important part of many real-world...
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01/24/2020
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
The recursive Newton-Euler Algorithm (RNEA) is a popular technique in ro...
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11/08/2018
Learning Latent Space Dynamics for Tactile Servoing
In order to achieve a dexterous robotic manipulation, we need to equip o...
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10/24/2017
