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 …

Learning an Autonomous Dynamic System to Encode Periodic Human Motion Skills

Z Jin, A Liu, WA Zhang, L Yu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Learning an autonomous dynamic system (ADS) encoding human motion rules has been
shown as an effective way for human motion skills transfer. However, most existing …

Sensor-free Variable Impedance Control Using Quadratic Programming and Extended State Observer

Y Li, W Lin, Z Jin, X Wu, Q Lu… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
In collaborative robotic scenarios such as polishing and assembly, achieving accurate and
adaptive manufacturing quality relies on force/position synchronized control of the robot …