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An Application Scenario for Many-Joint Robot Arm Control
ResearchGate
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ResearchGate
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2024年11月21日 — This paper investigates inverse recurrent forward models for many-joint robot arm control. First, Recurrent Neural Networks (RNNs) are ...
An Application Scenario for Many-Joint Robot Arm Control
Springer
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由 S Otte 著作2016被引用 9 次 — In this paper we introduced an approach for computing inverse kinematics of many-joint robot arms with inverse recurrent forward models. First, ...
An Application Scenario for Many-Joint Robot Arm Control
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It is demonstrated that the trained RNNs are well suited to gain inverse kinematics robustly and precisely using Back-Propagation Trough Time even for ...
An Application Scenario for Many-Joint Robot Arm Control
OUCI
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Laparoscope arm automatic positioning for robot-assisted surgery based on reinforcement learning · Integrative Collision Avoidance Within RNN-Driven Many-Joint ...
Inverse Kinematics with Recurrent Neural Networks
Universität Tübingen
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Universität Tübingen
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This project investigates inverse recurrent forward models for many-joint robot arm control. First, Recurrent Neural Networks (RNNs) are trained to predict arm ...
Inherently Constraint-Aware Control of Many-Joint Robot ...
ResearchGate
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ResearchGate
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2024年10月22日 — This paper investigates inverse recurrent forward models for many-joint robot arm control. First, Recurrent Neural Networks (RNNs) are trained ...
An Application Scenario for many-Joint Robot Arm Control
Universität Tübingen
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Universität Tübingen
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Inverse Recurrent Models - An Application Scenario for many-Joint Robot Arm Control ; DDC-Klassifikation: 004 - Informatik ; Dokumentart: Teil eines Buches
Many-Joint Robot Arm Control with Recurrent Spiking Neural ...
ACM Digital Library
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ACM Digital Library
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由 M Traub 著作2021被引用 8 次 — We demonstrate that spiking neural networks can thus effectively control trunk-like robotic arms with up to 75 articulated degrees of freedom ...
Many-Joint Robot Arm Control with Recurrent Spiking ...
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Inverse Recurrent Models - An Application Scenario for Many-Joint Robot Arm Control · S. ; Training a spiking neural network to control a 4-DoF robotic arm based ...
Towards Learning Inverse Kinematics with a Neural ...
Springer
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由 T Waegeman 著作2011被引用 12 次 — In this work, a novel control approach is presented based on a recurrent neural network. Without any prior knowledge about the robot, this control strategy ...