Results 31 to 40 of about 11,571 (267)

Deep Deterministic Policy Gradient with Reward Function Based on Fuzzy Logic for Robotic Peg-in-Hole Assembly Tasks

Applied Sciences, 2022
Robot automatic assembly of weak stiffness parts is difficult due to potential deformation during assembly. The robot manipulation cannot adapt to the dynamic contact changes during the assembly process. A robot assembly skill learning system is designed
Ziyue Wang, Fengming Li, Yu Men, Tianyu Fu, Xuting Yang, Rui Song   +5 more
doaj   +1 more source

Learning Variable Impedance Control for Contact-rich Robotics Manipulation with Guaranteed Passivity

IFAC-PapersOnLine
Xiao Yang, Che Hou, Yanhao He, Xiaoyu Zhang, Wenjie Chen, Zheng Chen   +5 more
openaire   +2 more sources

A Framework for Composite Layup Skill Learning and Generalizing Through Teleoperation

Frontiers in Neurorobotics, 2022
In this article, an impedance control-based framework for human-robot composite layup skill transfer was developed, and the human-in-the-loop mechanism was investigated to achieve human-robot skill transfer.
Weiyong Si, Ning Wang, Qinchuan Li, Chenguang Yang   +3 more
doaj   +1 more source

Variable impedance skill learning for contact-rich manipulation [Elektronisk resurs]

, 2022
Contact-rich manipulation tasks remain a hard problem in robotics that requires interaction with unstructured environments. Reinforcement Learning (RL) is one potential solution to such problems, as it has been successfully demonstrated on complex ...
Dürr, Alexander,, Stork, Johannes,, Stoyanov, Todor,, Topp, Elin Anna,, Yang, Quantao,, Lund University.   +5 more
core   +2 more sources

Variable impedance learning control for robotic arms from GMR-encoded behavior priors

Izvestiâ vysših učebnyh zavedenij. Priborostroenie
Ali Waddah, S.A. Kolyubin
openaire   +2 more sources

Variable Impedance Actuators: Moving the Robots of Tomorrow [PDF]

, 2012
Most of today's robots have rigid structures and actuators requiring complex software control algorithms and sophisticated sensor systems in order to behave in a compliant and safe way adapted to contact with unknown environments and humans.
Lefeber, D., Grioli, G., Haddadin, Sami, Stramigioli, S., A. Bicchi, Bicchi, Antonio, Carloni, R., Laffranchi, M., Haddadin, S., Jafari, A., Visser, L.C., Catalano, M.G., M. Catalano, Albu-Schäffer, Alin Olimpiu, Van Damme, M., F. Petit, Caldwell, D., M. Laffranchi, D. Caldwell, G. Ganesh, R. Carloni, Caldwell, D.G., Stramigioli, S.; id_orcid, Burdet, Etienne, Wolf, Sebastian, R. Van Ham, Garabini, M., B. Vanderborght, M. Grebenstein, S. Wolf, Catalano, M., Burdet, E., S. Haddadin, M. Garabini, Grebenstein, Markus, Ganesh, G., Vanderborght, B., D. Lefeber, M. Van Damme, Petit, F., Wolf, S., Van Ham, R., N. Tsagarakis, Albu-Schaeffer, A., Tsagarakis, N., Bicchi, A., E. Burdet, L. C. Visser   +47 more
core   +1 more source

Deep Learning-Based Recognition of Unsafe Acts in Manufacturing Industry

IEEE Access, 2023
Despite technological progress and the tendency for automation, the majority of manufacturing workplaces still rely on human labor. Although industrial tasks are frequently composed of simple operator actions, non-ergonomic execution of such repetitive ...
Arso M. Vukicevic, Milos N. Petrovic, Nikola M. Knezevic, Kosta M. Jovanovic   +3 more
doaj   +1 more source

Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly [PDF]

2019 International Conference on Robotics and Automation (ICRA), 2019
ICRA 2019.
Jianlan Luo, Eugen Solowjow, Chengtao Wen, Juan Aparicio Ojea, Alice M. Agogino, Aviv Tamar, Pieter Abbeel   +6 more
openaire   +2 more sources

Fault Detection and Classification in Transmission Lines Connected to Inverter-Based Generators Using Machine Learning

Energies, 2022
Integrating inverter-based generators in power systems introduces several challenges to conventional protection relays. The fault characteristics of these generators depend on the inverters’ control strategy, which matters in the detection and ...
Khalfan Al Kharusi, Abdelsalam El Haffar, Mostefa Mesbah   +2 more
doaj   +1 more source

Model-based Reinforcement Learning for Variable Impedance Control [PDF]

, 2023
This thesis is a collection of research work in the area of reinforcement learning and robotic manipulation. A set of new results on reinforcement learning focusing on model-based approaches and variable impedance control for compliant robotic ...
Anand, Akhil Sadanandan
core