Dynamic movement primitives in robotics: A tutorial survey

M Saveriano, FJ Abu-Dakka… - … Journal of Robotics …, 2023 - journals.sagepub.com
Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

A review on manipulation skill acquisition through teleoperation‐based learning from demonstration

W Si, N Wang, C Yang - Cognitive Computation and Systems, 2021 - Wiley Online Library
Manipulation skill learning and generalisation have gained increasing attention due to the
wide applications of robot manipulators and the spurt of robot learning techniques …

Advanced manufacturing in industry 5.0: A survey of key enabling technologies and future trends

W Xiang, K Yu, F Han, L Fang, D He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A revolution in advanced manufacturing has been driven by digital technology in the fourth
industrial revolution, also known as Industry 4.0, and has resulted in a substantial increase …

Toward teaching by demonstration for robot-assisted minimally invasive surgery

H Su, A Mariani, SE Ovur, A Menciassi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Learning manipulation skills from open surgery provides more flexible access to the organ
targets in the abdomen cavity and this could make the surgical robot working in a highly …

[HTML][HTML] Variable compliance control for robotic peg-in-hole assembly: A deep-reinforcement-learning approach

CC Beltran-Hernandez, D Petit, IG Ramirez-Alpizar… - Applied Sciences, 2020 - mdpi.com
Featured Application Assembly tasks with industrial robot manipulators. Abstract Industrial
robot manipulators are playing a significant role in modern manufacturing industries …

Openstreetmap-based autonomous navigation for the four wheel-legged robot via 3d-lidar and ccd camera

J Li, H Qin, J Wang, J Li - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
OpenStreetMap (OSM) is widely used in outdoor navigation research recently, which is
publicly available and can provide a wide range of road information for outdoor robot …

Obstacle avoidance and tracking control of redundant robotic manipulator: An RNN-based metaheuristic approach

AH Khan, S Li, X Luo - IEEE transactions on industrial …, 2019 - ieeexplore.ieee.org
In this article, we present a metaheuristic-based control framework, called beetle antennae
olfactory recurrent neural network, for simultaneous tracking control and obstacle avoidance …

[HTML][HTML] Human–robot skill transmission for mobile robot via learning by demonstration

J Li, J Wang, S Wang, C Yang - Neural Computing and Applications, 2023 - Springer
This paper proposed a skill transmission technique for the mobile robot via learning by
demonstration. When the material is transported to the designated location, the robot can …

Feedback deep deterministic policy gradient with fuzzy reward for robotic multiple peg-in-hole assembly tasks

J Xu, Z Hou, W Wang, B Xu, K Zhang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The automatic completion of multiple peg-in-hole assembly tasks by robots remains a
formidable challenge because the traditional control strategies require a complex analysis of …

Prediction of human activity patterns for human–robot collaborative assembly tasks

AM Zanchettin, A Casalino, L Piroddi… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
It is widely agreed that future manufacturing environments will be populated by humans and
robots sharing the same workspace. However, the real collaboration can be sporadic …