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Effective workspaces of parallel robots
Robotica, 2022AbstractAn approach for calculating the effective workspaces of parallel mechanisms has been considered in this paper. The effective workspace is a set of reachable by the end-effector points, where an important parameter (or parameters) from the point of view of operation is not higher than critical.
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2014
Parallel robot (PR) is a mechanical system that utilized multiple computer-controlled limbs to support one common platform or end effector. Comparing to a serial robot, a PR generally has higher precision and dynamic performance and, therefore, can be applied to many applications.
Jin, Yan +2 more
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Parallel robot (PR) is a mechanical system that utilized multiple computer-controlled limbs to support one common platform or end effector. Comparing to a serial robot, a PR generally has higher precision and dynamic performance and, therefore, can be applied to many applications.
Jin, Yan +2 more
openaire +2 more sources
Parallel robot motion planning
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 2002A fast, parallel method for computing configuration space maps is presented. The method is made possible by recognizing that one can compute a family of primitive maps which can be combined by superposition based on the distribution of real obstacles.
Tomás Lozano-Pérez +1 more
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IEEE Transactions on Automation Science and Engineering
Uncertainties in the kinematic and dynamic parameters of a parallel robot are unavoidable. The problem is more crucial in the cases where the manipulator interacts with the environment and when it is large–scale or deployable.
M. R. J. Harandi +3 more
semanticscholar +1 more source
Uncertainties in the kinematic and dynamic parameters of a parallel robot are unavoidable. The problem is more crucial in the cases where the manipulator interacts with the environment and when it is large–scale or deployable.
M. R. J. Harandi +3 more
semanticscholar +1 more source
Forward Kinematic Analysis of Kinematically Redundant Hybrid Parallel Robots
Journal of Mechanisms and Robotics, 2020This paper focuses on the forward kinematic analysis of (6 + 3)-degree-of-freedom kinematically redundant hybrid parallel robots. Because all of the singularities are avoidable, the robot can cover a very large orientational workspace.
Kefei Wen, C. Gosselin
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Robust control of a parallel robot
2015 International Conference on Advanced Robotics (ICAR), 2015This work presents the implementation of two model based control schemes in parallel mechanisms; the H∞ robust control designed by the mixed sensitivity approach and the Computed Torque Control (CTC). Simulations results are illustrated for the 3DOF parallel robot namely the “Delta robot”. Performances of the CTC and the H∞ controllers are compared for
Meryam Rachedi +2 more
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IEEE Transactions on Industrial Informatics
As pneumatic artificial muscles (PAMs) are similar to biological muscles in structure and movement mechanisms, parallel robots actuated by PAMs have development prospects in rehabilitation and industry, with advantages such as compliance, high safety ...
Qihang Wang +5 more
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As pneumatic artificial muscles (PAMs) are similar to biological muscles in structure and movement mechanisms, parallel robots actuated by PAMs have development prospects in rehabilitation and industry, with advantages such as compliance, high safety ...
Qihang Wang +5 more
semanticscholar +1 more source
Static balancing of parallel robots
Mechanism and Machine Theory, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
RUSSO A, SINATRA, Rosario, XI F.
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Synchronization Control in the Cable Space for Cable-Driven Parallel Robots
IEEE transactions on industrial electronics (1982. Print), 2019Cable-driven parallel robots (CDPRs) have low moving inertia and provide high-speed motion over a large workspace. The main challenges of CDPRs stem from the fact that cables should be in tension during motion control. Cable tension is closely related to
Weiwei Shang +4 more
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Neurocomputing, 2020
Deep reinforcement learning (DRL) has been proven effective in learning policies of high-dimensional states and actions. Recently, a variety of robot manipulation tasks have been accomplished using end-to-end DRL strategies.
Hao Xiong +3 more
semanticscholar +1 more source
Deep reinforcement learning (DRL) has been proven effective in learning policies of high-dimensional states and actions. Recently, a variety of robot manipulation tasks have been accomplished using end-to-end DRL strategies.
Hao Xiong +3 more
semanticscholar +1 more source

