Peg-in-hole assembly skill imitation learning method based on ProMPs under task geometric representation

Y Zang, P Wang, F Zha, W Guo, C Zheng… - Frontiers in …, 2023 - frontiersin.org
Introduction Behavioral Cloning (BC) is a common imitation learning method which utilizes
neural networks to approximate the demonstration action samples for task manipulation skill …

Robot learning of assistive manipulation tasks by demonstration via head gesture-based interface

M Kyrarini, Q Zheng, MA Haseeb… - 2019 IEEE 16th …, 2019 - ieeexplore.ieee.org
Assistive robotic manipulators have the potential to support the lives of people suffering from
severe motor impairments. They can support individuals with disabilities to independently …

A Variable Impedance Skill Learning Algorithm Based on Kernelized Movement Primitives

A Liu, S Zhan, Z Jin, WA Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article proposes a novel learning from demonstrations (LfD) method based on
kernelized movement primitives (KMP). The original KMP algorithm is excellent at …

Non-parametric Gaussian process movement primitive with via-point constraint for effective and safe robot skill learning

J Fu, Z Jin, A Liu, WA Zhang, L Yu - Neurocomputing, 2024 - Elsevier
Learning from demonstration (LFD) algorithms has been proven to be an effective way to
encode basic human skills, such as probabilistic movement primitives (ProMPs). However …

[图书][B] Robot Learning Human Skills and Intelligent Control Design

C Yang, C Zeng, J Zhang - 2021 - taylorfrancis.com
In the last decades robots are expected to be of increasing intelligence to deal with a large
range of tasks. Especially, robots are supposed to be able to learn manipulation skills from …

Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning

Z Zhang, J Hong, AS Enayati, H Najjaran - arXiv preprint arXiv:2307.16062, 2023 - arxiv.org
Reinforcement learning (RL) for motion planning of multi-degree-of-freedom robots still
suffers from low efficiency in terms of slow training speed and poor generalizability. In this …

The arm planning with dynamic movement primitive for humanoid service robot

M Lin, Z Lu, S Wang, R Wang - 2020 5th International …, 2020 - ieeexplore.ieee.org
In order to realize the autonomous motor learning skills of humanoid service robot, we
propose a systematic framework for trajectory planning and learning of robotic arms in this …

Robot Learning from Multiple Demonstrations Based on Generalized Gaussian Mixture Model

J Dong, W Si, N Wang, C Yang - 2023 28th International …, 2023 - ieeexplore.ieee.org
The quality of skills learned by robots from demonstrations depends on the level of
demonstration by the instructor, while models such as Dynamic Motion Primitives (DMP) are …

Learning to optimize control policies and evaluate reproduction performance from human demonstrations

P Gesel, D LaRoche, S Arthanat… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
We are interested in learning from demonstration (LfD) that can both learn and execute a
trajectory and evaluate the quality of a previously unseen trajectory in the domain of …

Robot Learning from Human Demonstrations for Human-Robot Synergy

M Kyrarini - 2019 - media.suub.uni-bremen.de
Human-robot synergy enables new developments in industrial and assistive robotics
research. In recent years, collaborative robots can work together with humans to perform a …