Simultaneously learning of motion, stiffness, and force from human demonstration based on riemannian dmp and qp optimization

Z Liao, F Tassi, C Gong, M Leonori… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In this paper, we propose a motion, stiffness, and force learning framework based on an
extended dynamic movement primitive (DMP) and quadratic programming (QP) …

Learning target-directed skill and variable impedance control from interactive demonstrations for robot-assisted soft tissue puncture tasks

X Zhai, L Jiang, H Wu, H Zheng, D Liu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
A framework is proposed in this paper for learning variable impedance in percutaneous
puncture surgery, with the aim of simplifying the robotic puncture of soft tissues. The …

TeachingBot: Robot Teacher for Human Handwriting

Z Hou, C Yu, D Hsu, H Yu - arxiv preprint arxiv:2309.11848, 2023 - arxiv.org
Teaching physical skills to humans requires one-on-one interaction between the teacher
and the learner. With a shortage of human teachers, such a teaching mode faces the …

Vision-based Defects Detection and Interactive Impedance Control in Robotic Automated Layup Tasks

H Zheng, X Zhai, S Gu, Z Liao, J Pan… - … on Robotics and …, 2023 - ieeexplore.ieee.org
This paper proposes a robotic automated layup framework consisting of three components:
human-robot layup skill transfer, vision-based quality detection, and adaptive impedance …