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12/11/2020
Motion Mappings for Continuous Bilateral Teleoperation
Mapping operator motions to a robot is a key problem in teleoperation. D...
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11/11/2020
Generative Adversarial Network to Learn Valid Distributions of Robot Configurations for Inverse Kinematics and Constrained Motion Planning
In high dimensional robotic system, the manifold of the valid configurat...
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11/06/2020
Generative adversarial training of product of policies for robust and adaptive movement primitives
In learning from demonstrations, many generative models of trajectories ...
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10/07/2020
Learning from demonstration using products of experts: applications to manipulation and task prioritization
Probability distributions are key components of many learning from demon...
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08/06/2020
Active Improvement of Control Policies with Bayesian Gaussian Mixture Model
Learning from demonstration (LfD) is an intuitive framework allowing non...
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07/01/2020
Interaction-limited Inverse Reinforcement Learning
This paper proposes an inverse reinforcement learning (IRL) framework to...
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07/02/2019
Memory of Motion for Warm-starting Trajectory Optimization
Trajectory optimization for motion planning requires a good initial gues...
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05/23/2019
Variational Inference with Mixture Model Approximation: Robotic Applications
We propose a method to approximate the distribution of robot configurati...
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04/24/2019
Bayesian Gaussian mixture model for robotic policy imitation
A common approach to learn robotic skills is to imitate a policy demonst...
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02/19/2019
