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Closed-Loop Inverse Kinematics for Redundant Robots: Comparative Assessment and Two Enhancements

IEEE/ASME transactions on mechatronics, 2015-04, Vol.20 (2), p.944-955

2015

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A topological extension of movement primitives for curvature modulation and sampling of robot motion

Autonomous robots, 2021-06, Vol.45 (5), p.725-735

2021

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Dimensionality Reduction for Dynamic Movement Primitives and Application to Bimanual Manipulation of Clothes

IEEE transactions on robotics, 2018-06, Vol.34 (3), p.602-615

2018

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Model Predictive Control for Dynamic Cloth Manipulation: Parameter Learning and Experimental Validation

IEEE transactions on control systems technology, 2024-07, Vol.32 (4), p.1254-1270

2024

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Perturbation-Based Stiffness Inference in Variable Impedance Control

IEEE robotics and automation letters, 2022-10, Vol.7 (4), p.8823-8830

2022

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Robot motion adaptation through user intervention and reinforcement learning

Pattern recognition letters, 2018-04, Vol.105, p.67-75

2018

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Dual REPS: A Generalization of Relative Entropy Policy Search Exploiting Bad Experiences

IEEE transactions on robotics, 2017-08, Vol.33 (4), p.978-985

2017

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Benchmarking the Sim-to-Real Gap in Cloth Manipulation

IEEE robotics and automation letters, 2024-03, Vol.9 (3), p.2981-2988

2024

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Sampling Efficiency in Learning Robot Motion

Reinforcement Learning of Bimanual Robot Skills, p.89-107

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Generating and Adapting Probabilistic Movement Primitives

Reinforcement Learning of Bimanual Robot Skills, p.147-167

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Robot Compliant Control

Reinforcement Learning of Bimanual Robot Skills, p.53-72

Volltextzugriff (PDF)

Dimensionality Reduction with Movement Primitives

Reinforcement Learning of Bimanual Robot Skills, p.109-146

Volltextzugriff (PDF)

State of the Art

Reinforcement Learning of Bimanual Robot Skills, p.11-24

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Inverse Kinematics and Relative Arm Positioning

Reinforcement Learning of Bimanual Robot Skills, p.25-52

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Dimensionality Reduction in Learning Gaussian Mixture Models of Movement Primitives for Contextualized Action Selection and Adaptation

IEEE robotics and automation letters, 2018-10, Vol.3 (4), p.3922-3929

2018

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Dimensionality reduction and motion coordination in learning trajectories with Dynamic Movement Primitives

2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014, p.1414-1420

2014

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Demonstration-free contextualized probabilistic movement primitives, further enhanced with obstacle avoidance

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, p.3190-3195

2017

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Ordinal Inverse Reinforcement Learning Applied to Robot Learning with Small Data

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, p.2490-2496

2022

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Redundant inverse kinematics: Experimental comparative review and two enhancements

2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012, p.5333-5340

2012

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Exploiting Symmetries in Reinforcement Learning of Bimanual Robotic Tasks

IEEE robotics and automation letters, 2019-04, Vol.4 (2), p.1838-1845

2019

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User Evaluation of an Interactive Learning Framework for Single-Arm and Dual-Arm Robots

Social Robotics, 2016, Vol.9979, p.52-61

2016

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Quadratic Dynamic Matrix Control for Fast Cloth Manipulation

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, p.8178-8185

2023

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Task-Adaptive Robot Learning From Demonstration With Gaussian Process Models Under Replication

IEEE robotics and automation letters, 2021-04, Vol.6 (2), p.966-973

2021

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Reward-Weighted GMM and Its Application to Action-Selection in Robotized Shoe Dressing

ROBOT 2017: Third Iberian Robotics Conference, 2017, p.141-152

2017

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A friction-model-based framework for Reinforcement Learning of robotic tasks in non-rigid environments

2015 IEEE International Conference on Robotics and Automation (ICRA), 2015, p.5649-5654

2015

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Closed-Loop Inverse Kinematics for Redundant Robots: Comparative Assessment and Two Enhancements

A topological extension of movement primitives for curvature modulation and sampling of robot motion

Dimensionality Reduction for Dynamic Movement Primitives and Application to Bimanual Manipulation of Clothes

Model Predictive Control for Dynamic Cloth Manipulation: Parameter Learning and Experimental Validation

Perturbation-Based Stiffness Inference in Variable Impedance Control

Robot motion adaptation through user intervention and reinforcement learning

Dual REPS: A Generalization of Relative Entropy Policy Search Exploiting Bad Experiences

Benchmarking the Sim-to-Real Gap in Cloth Manipulation

Sampling Efficiency in Learning Robot Motion

Generating and Adapting Probabilistic Movement Primitives

Robot Compliant Control

Dimensionality Reduction with Movement Primitives

State of the Art

Inverse Kinematics and Relative Arm Positioning

Dimensionality Reduction in Learning Gaussian Mixture Models of Movement Primitives for Contextualized Action Selection and Adaptation

Dimensionality reduction and motion coordination in learning trajectories with Dynamic Movement Primitives

Demonstration-free contextualized probabilistic movement primitives, further enhanced with obstacle avoidance

Ordinal Inverse Reinforcement Learning Applied to Robot Learning with Small Data

Redundant inverse kinematics: Experimental comparative review and two enhancements

Exploiting Symmetries in Reinforcement Learning of Bimanual Robotic Tasks

User Evaluation of an Interactive Learning Framework for Single-Arm and Dual-Arm Robots

Quadratic Dynamic Matrix Control for Fast Cloth Manipulation

Task-Adaptive Robot Learning From Demonstration With Gaussian Process Models Under Replication

Reward-Weighted GMM and Its Application to Action-Selection in Robotized Shoe Dressing

A friction-model-based framework for Reinforcement Learning of robotic tasks in non-rigid environments

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