MCR-Bionic Hand: Anatomical Structural Priors for Dexterous Manipulation
- URL: http://arxiv.org/abs/2606.13601v1
- Date: Thu, 11 Jun 2026 17:20:15 GMT
- Title: MCR-Bionic Hand: Anatomical Structural Priors for Dexterous Manipulation
- Abstract summary: Human hand dexterity is partly encoded in the physical architecture of bones, ligaments, tendons, aponeuroses, and intrinsic muscles.<n>This work describes that contribution as two linked forms of structural intelligence.<n>MCR-Bionic Hand is developed as a 1:1 musculoskeletal biomimetic hand integrating a two row eight bone wrist, cross wrist tendons, anatomical flexor routing, volar plate and collateral ligament constraints, the dorsal extensor hood, and intrinsic muscle pathways within one body.
- Score: 4.182865215052935
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Dexterous robotic hands are usually formulated as high dimensional active control systems governed by degrees of freedom, actuation, and algorithms. Human hand dexterity, however, is partly encoded in the physical architecture of bones, ligaments, tendons, aponeuroses, and intrinsic muscles. This work describes that contribution as two linked forms of structural intelligence: structural prior generation, in which wrist to finger tenodesis, FDS/FDP routing, and the dorsal extensor hood transform low dimensional posture inputs into default grasp configurations and PIP to DIP coordination; and muscle mediated modulation, in which extrinsic muscles, lumbricals, and interossei regulate MCP posture, distal stability, fingertip force paths, and contact states around that default state. Based on this framework, MCR-Bionic Hand is developed as a 1:1 musculoskeletal biomimetic hand integrating a two row eight bone wrist, cross wrist tendons, anatomical flexor routing, volar plate and collateral ligament constraints, the dorsal extensor hood, and intrinsic muscle pathways within one body. Functional demonstrations and geometric mechanical models show that wrist posture induces multi joint pre shaping, the extensor hood maps PIP posture to a coupled DIP response, and intrinsic plus pathways modulate distal stability and fingertip action direction after grasp formation. Contact rich tasks, including coin rotation, pen transfer, dorsal coin flipping, and cube manipulation, show that MCR-Bionic links low dimensional state generation with fine post contact modulation. These results suggest that anatomical biomimetics is valuable not for visual similarity, but for identifying human hand structures that perform part of control.
Related papers
- Morphology and actuation as inductive biases in robotic hand manipulation [0.0]
A unified framework is presented in which the kinematic and actuation stages are analysed separately and in composition.<n>It is applied to two hands representing opposing design philosophies, the Shadow Dexterous Hand and the Anatomically Correct, Biomechatronic Hand.<n>All parameters are derived from the hands' canonical digital representations.
arXiv Detail & Related papers (2026-09-04T14:38:13Z) - Soft Robotic Exogloves for Dexterous Mobility -- Towards Personalized Rehabilitation [0.0]
Soft robotic exogloves can provide hand rehabilitation and assistance.<n> fitting these gloves often relies on standardized measurements not tailored to the individual.<n>We present the design, fabrication, modeling, and testing of a personalized pneumatically-actuated soft robotic exoglove.
arXiv Detail & Related papers (2026-07-08T22:48:29Z) - SOMA: From Surface Observations to Muscle Anatomy [55.23576061150391]
We present SOMA, a person-specific model that infers bio-temporal muscle behavior from surface signals obtained using RGB cameras.<n>We show how our method provides anatomically grounded animations without the complexity of traditional simulations.
arXiv Detail & Related papers (2026-06-08T09:20:46Z) - Dynamics Computation of Soft-Rigid Hybrid-Link System and Its Application to Motion Analysis of an Athlete Wearing Sport Prosthesis [2.858227487978669]
We build a hybrid-link system that integrates rigid-link and soft-bodies in a unified formulation.<n>We apply inverse kinematics of the hybrid-link system to motion reconstruction from a motion captured data.
arXiv Detail & Related papers (2026-05-13T08:49:44Z) - Scaling Whole-Body Human Musculoskeletal Behavior Emulation for Specificity and Diversity [11.002363474183683]
We introduce a large-scale parallel musculoskeletal computation framework for biomechanically grounded whole-body motion reproduction.<n>It achieves high joint angle accuracy and body position alignment for highly dynamic tasks such as dance, cartwheel, and backflip.<n>This work establishes a tractable computational route to analyzing the specificity and diversity underlying human embodied control of movement.
arXiv Detail & Related papers (2026-03-31T06:55:10Z) - RIM Hand : A Robotic Hand with an Accurate Carpometacarpal Joint and Nitinol-Supported Skeletal Structure [5.931460902786287]
The RIM Hand is a biomimetic robotic hand that precisely replicates the carpal carpometacarpal joints.<n>By modeling the full-to-metacarpal anatomy, the design enables realistic palm deformation through tendon-driven fingers.<n>A flexible silicone skin further increases contact friction and contact area, enabling stable grasps for diverse objects.
arXiv Detail & Related papers (2026-01-20T08:48:04Z) - HippMetric: A skeletal-representation-based framework for cross-sectional and longitudinal hippocampal substructural morphometry [22.804435583903572]
HippMetric is a skeletal representation-based framework for hippocampal substructural morphometry.<n>It employs a deformable skeletal coordinate system aligned with hippocampal anatomy and function.<n>It achieves higher accuracy, reliability, and correspondence stability compared to existing shape models.
arXiv Detail & Related papers (2025-12-22T09:53:55Z) - MHR: Momentum Human Rig [56.93912398188499]
We present MHR, a parametric human body model that combines the decoupled skeleton/shape paradigm of ATLAS with a flexible, modern rig and pose corrective system inspired by the Momentum library.<n>Our model enables expressive, anatomically plausible human animation, supporting non-linear pose correctives, and is designed for robust integration in AR/VR and graphics pipelines.
arXiv Detail & Related papers (2025-11-19T16:18:02Z) - Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting [51.906871559732245]
Parkinson's disease (PD) shows heterogeneous, evolving brain-morphometry patterns.<n>Modeling these longitudinal trajectories enables mechanistic insight, treatment development, and individualized 'digital-twin' forecasting.<n>We propose CNODE, a novel framework for continuous, individualized PD progression forecasting.
arXiv Detail & Related papers (2025-11-06T20:16:33Z) - Geometry-Aware Losses for Structure-Preserving Text-to-Sign Language Generation [14.94145299705437]
Sign language translation plays a crucial role in enabling effective communication for Deaf and hard-of---hearing individuals.<n>Prior methods often neglect the anatomical constraints and coordination patterns of human skeletal motion.<n>We propose a novel approach that explicitly models the relationships among skeletal joints.
arXiv Detail & Related papers (2025-09-27T00:06:17Z) - Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation [56.34634121544929]
In this study, we first construct the brain-effective network via the dynamic causal model.
We then introduce an interpretable graph learning framework termed Spatio-Temporal Embedding ODE (STE-ODE)
This framework incorporates specifically designed directed node embedding layers, aiming at capturing the dynamic interplay between structural and effective networks.
arXiv Detail & Related papers (2024-05-21T20:37:07Z) - MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints [50.61346764110482]
We integrate a musculoskeletal system with a learnable parametric hand model, MANO, to create MS-MANO.
This model emulates the dynamics of muscles and tendons to drive the skeletal system, imposing physiologically realistic constraints on the resulting torque trajectories.
We also propose a simulation-in-the-loop pose refinement framework, BioPR, that refines the initial estimated pose through a multi-layer perceptron network.
arXiv Detail & Related papers (2024-04-16T02:18:18Z) - Imposing Temporal Consistency on Deep Monocular Body Shape and Pose
Estimation [67.23327074124855]
This paper presents an elegant solution for the integration of temporal constraints in the fitting process.
We derive parameters of a sequence of body models, representing shape and motion of a person, including jaw poses, facial expressions, and finger poses.
Our approach enables the derivation of realistic 3D body models from image sequences, including facial expression and articulated hands.
arXiv Detail & Related papers (2022-02-07T11:11:55Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.