Results 11 to 20 of about 90,693 (225)

Cooperative Motion Generation in a Distributed Network of Redundant Robot Manipulators With Noises

open access: yesIEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018
In this paper, a distributed scheme is proposed for the cooperative motion generation in a distributed network of multiple redundant manipulators. The proposed scheme can simultaneously achieve the specified primary task to reach global cooperation under
Long Jin   +4 more
semanticscholar   +3 more sources

Reinforcement Learning-Based Reactive Obstacle Avoidance Method for Redundant Manipulators

open access: yesEntropy, 2022
Redundant manipulators are widely used in fields such as human-robot collaboration due to their good flexibility. To ensure efficiency and safety, the manipulator is required to avoid obstacles while tracking a desired trajectory in many tasks ...
Yue Shen   +5 more
doaj   +1 more source

Spherical Wrist Manipulator Local Planner for Redundant Tasks in Collaborative Environments

open access: yesSensors, 2023
Standard industrial robotic manipulators use well-established high performing technologies. However, such manipulators do not guarantee a safe Human–Robot Interaction (HRI), limiting their usage in industrial and medical applications. This paper proposes
Marcello Chiurazzi   +4 more
doaj   +1 more source

Dynamic Analysis and Control of Redundant Manipulator for Agricultural Applications in a Virtual Environment

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2023
In the development of automated manipulators for fruit and vegetable picking technologies, the challenge of ensuring an efficient, stable, and loss-free picking process has been a complex problem.
A. Sridhar Reddy   +2 more
doaj   +1 more source

A Circadian Rhythms Neural Network for Solving the Redundant Robot Manipulators Tracking Problem Perturbed by Periodic Noise

open access: yesIEEE/ASME transactions on mechatronics, 2021
Redundant robot manipulators are usually applied to various complex scenarios where harmful noise especially periodic calculating noise always exists. In order to avoid the task failure affected by the periodic noise, a circadian rhythms neural network ...
Zhijun Zhang   +3 more
semanticscholar   +1 more source

Maxwell Model-Based Null Space Compliance Control in the Task-Priority Framework for Redundant Manipulators

open access: yesIEEE Access, 2020
Improving robot performance while simultaneously ensuring compliance and human safety has been appealing for a long time and remains a challenge. To this end, we propose a new approach for kinematic control of redundant manipulators to deal with multiple
Le Fu, Jie Zhao
doaj   +1 more source

A general method for the manipulability analysis of serial robot manipulators

open access: yesInternational Journal of Advanced Robotic Systems, 2023
Manipulability quantification and evaluation of robot manipulators plays an important role in robotic mechanism design, motion planning, and control. In this article, a general methodology of using manipulability polytopes to characterize the manipulator’
Zhihong Zou
doaj   +1 more source

Inverse kinematics solution for humanoid robot minimizing gravity-related joint torques [PDF]

open access: yesArchive of Mechanical Engineering, 2022
A method of solving the inverse kinematics problem for a humanoid robot modeled as a tree-shaped manipulator is presented. Robot trajectory consists of a set of trajectories of the characteristic points (the robot’s center of mass, origins of feet and ...
Kacper Mikołajczyk   +2 more
doaj   +1 more source

Dynamic Control of Kinematically Redundant Robotic Manipulators [PDF]

open access: yesModeling, Identification and Control: A Norwegian Research Bulletin, 1987
Several methods for task space control of kinematically redundant manipulators have been proposed in the literature. Most of these methods are based on a kinematic analysis of the manipulator. In this paper we propose a control algorithm in which we are especially concerned with the manipulator dynamics.
Erling Lunde   +2 more
openaire   +2 more sources

A Varying-Parameter Recurrent Neural Network Combined With Penalty Function for Solving Constrained Multi-Criteria Optimization Scheme for Redundant Robot Manipulators

open access: yesIEEE Access, 2021
To effectively solve the multi-objective motion planning problem for redundant robot manipulators, a penalty neural multi-criteria optimization (PNMCO) scheme is proposed and investigated.
Nan Zhong   +4 more
semanticscholar   +1 more source

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