simplified upper extremity model Search Results


90
Musculographics Inc three-dimensional upper-extremity model
Three Dimensional Upper Extremity Model, supplied by Musculographics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Musculographics Inc upper extremity model in simm
Upper Extremity Model In Simm, supplied by Musculographics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/upper extremity model in simm/product/Musculographics Inc
Average 90 stars, based on 1 article reviews
upper extremity model in simm - by Bioz Stars, 2026-04
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OpenSim Ltd upper limb model opensim version
Upper Limb Model Opensim Version, supplied by OpenSim Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/upper limb model opensim version/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
upper limb model opensim version - by Bioz Stars, 2026-04
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OpenSim Ltd upper extremity dynamic model
Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical <t>upper</t> <t>extremity</t> <t>model</t> from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.
Upper Extremity Dynamic Model, supplied by OpenSim Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/upper extremity dynamic model/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
upper extremity dynamic model - by Bioz Stars, 2026-04
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CFD Research Corporation biomechanical model of the upper extremity musculoskeletal system
Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical <t>upper</t> <t>extremity</t> <t>model</t> from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.
Biomechanical Model Of The Upper Extremity Musculoskeletal System, supplied by CFD Research Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/biomechanical model of the upper extremity musculoskeletal system/product/CFD Research Corporation
Average 90 stars, based on 1 article reviews
biomechanical model of the upper extremity musculoskeletal system - by Bioz Stars, 2026-04
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OpenSim Ltd model of the macaque upper extremity
Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical <t>upper</t> <t>extremity</t> <t>model</t> from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.
Model Of The Macaque Upper Extremity, supplied by OpenSim Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/model of the macaque upper extremity/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
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OpenSim Ltd upper extremity anatomical model 8
Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical <t>upper</t> <t>extremity</t> <t>model</t> from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.
Upper Extremity Anatomical Model 8, supplied by OpenSim Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
upper extremity anatomical model 8 - by Bioz Stars, 2026-04
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Nonlinear Dynamics upper extremity model
Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical <t>upper</t> <t>extremity</t> <t>model</t> from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.
Upper Extremity Model, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/upper extremity model/product/Nonlinear Dynamics
Average 90 stars, based on 1 article reviews
upper extremity model - by Bioz Stars, 2026-04
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OpenSim Ltd mobl upper extremity dynamic model
Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical <t>upper</t> <t>extremity</t> <t>model</t> from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.
Mobl Upper Extremity Dynamic Model, supplied by OpenSim Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
mobl upper extremity dynamic model - by Bioz Stars, 2026-04
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Musculographics Inc upper extremity musculoskeletal model
Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical <t>upper</t> <t>extremity</t> <t>model</t> from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.
Upper Extremity Musculoskeletal Model, supplied by Musculographics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/upper extremity musculoskeletal model/product/Musculographics Inc
Average 90 stars, based on 1 article reviews
upper extremity musculoskeletal model - by Bioz Stars, 2026-04
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Pacific Research Laboratories life-like model of the upper extremity
Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical <t>upper</t> <t>extremity</t> <t>model</t> from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.
Life Like Model Of The Upper Extremity, supplied by Pacific Research Laboratories, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/life-like model of the upper extremity/product/Pacific Research Laboratories
Average 90 stars, based on 1 article reviews
life-like model of the upper extremity - by Bioz Stars, 2026-04
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OpenSim Ltd mobl arms dynamic musculoskeletal model of the upper extremity
Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical <t>upper</t> <t>extremity</t> <t>model</t> from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.
Mobl Arms Dynamic Musculoskeletal Model Of The Upper Extremity, supplied by OpenSim Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
mobl arms dynamic musculoskeletal model of the upper extremity - by Bioz Stars, 2026-04
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Image Search Results


Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical upper extremity model from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.

Journal: Scientific Reports

Article Title: Reinforcement learning control of a biomechanical model of the upper extremity

doi: 10.1038/s41598-021-93760-1

Figure Lengend Snippet: Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical upper extremity model from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.

Article Snippet: Using OpenSim, we scaled the Upper Extremity Dynamic Model to this particular person.

Techniques: Synthesized, Control, Muscles