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
https://www.bioz.com/product/upper+extremity+model/pmc03358406-58-17-23?v=Musculographics+Inc
Average 90 stars, based on 1 article reviews
three-dimensional upper-extremity model - by Bioz Stars, 2026-07
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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/product/upper+extremity+model/pm26253991-50-12-16?v=Musculographics+Inc
Average 90 stars, based on 1 article reviews
upper extremity model in simm - by Bioz Stars, 2026-07
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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/product/upper+extremity+model/pmc05240469-298-6-0?v=OpenSim+Ltd
Average 90 stars, based on 1 article reviews
upper limb model opensim version - by Bioz Stars, 2026-07
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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/product/upper+extremity+model/pmc08280157-210-5-1?v=OpenSim+Ltd
Average 90 stars, based on 1 article reviews
upper extremity dynamic model - by Bioz Stars, 2026-07
90/100 stars
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90
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/product/upper+extremity+model/pmc04658435-44-10-37?v=CFD+Research+Corporation
Average 90 stars, based on 1 article reviews
biomechanical model of the upper extremity musculoskeletal system - by Bioz Stars, 2026-07
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90
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/product/upper+extremity+model/bio_rxiv__2022__07__09__499432-108-29-25?v=OpenSim+Ltd
Average 90 stars, based on 1 article reviews
model of the macaque upper extremity - by Bioz Stars, 2026-07
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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
https://www.bioz.com/product/upper+extremity+model/pmc05325820-134-4-16?v=OpenSim+Ltd
Average 90 stars, based on 1 article reviews
upper extremity anatomical model 8 - by Bioz Stars, 2026-07
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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/product/upper+extremity+model/pmc02963661-80-2-9?v=Musculographics+Inc
Average 90 stars, based on 1 article reviews
upper extremity musculoskeletal model - by Bioz Stars, 2026-07
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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
https://www.bioz.com/product/upper+extremity+model/10__1016_slash_j__medntd__2021__100076-72-12-1?v=OpenSim+Ltd
Average 90 stars, based on 1 article reviews
mobl upper extremity dynamic model - by Bioz Stars, 2026-07
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90
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/product/upper+extremity+model/pmc05539021-126-6-33?v=Pacific+Research+Laboratories
Average 90 stars, based on 1 article reviews
life-like model of the upper extremity - by Bioz Stars, 2026-07
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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
https://www.bioz.com/product/upper+extremity+model/pmc06301033-85-14-17?v=OpenSim+Ltd
Average 90 stars, based on 1 article reviews
mobl arms dynamic musculoskeletal model of the upper extremity - by Bioz Stars, 2026-07
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OpenSim Ltd customized unimanual 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.
Customized Unimanual Upper Extremity Musculoskeletal 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/product/upper+extremity+model/10__3390_slash_robotics13040060-81-7-16?v=OpenSim+Ltd
Average 90 stars, based on 1 article reviews
customized unimanual upper extremity musculoskeletal model - by Bioz Stars, 2026-07
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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