Replicating Human Anatomy with Vision Controlled Jetting – A Pneumatic Musculoskeletal Hand and Forearm

📅 2024-04-14
🏛️ International Conference on Soft Robotics
📈 Citations: 0
Influential: 0
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🤖 AI Summary
Existing myoelectric and robotic hand-forearm systems struggle to simultaneously achieve anatomical fidelity, dexterity, and low-cost actuation. Method: This work proposes a fully pneumatic, monolithic solution fabricated via single-step vision-controlled jetting 3D printing, integrating rigid skeletal structures, compliant joint capsules, biomimetic tendons, and embedded flexible tactile sensors. It introduces a novel thin-profile, low-cost pneumatic artificial muscle (PAM) with 30.1% strain, enabling a 22-channel independently controllable actuation array for anatomically accurate hand–forearm coordination. Results: The system enables individual finger control and multiscale grasping—from a 0.5 g coin to a 272 g aluminum can—with fingertip force, grip strength, and joint range of motion matching human physiological benchmarks. This represents the first demonstration of high-fidelity biomechanical performance coupled with fully pneumatic actuation in an integrated hand–forearm prosthesis.

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📝 Abstract
The functional replication and actuation of complex structures inspired by nature is a longstanding goal for humanity. Creating such complex structures combining soft and rigid features and actuating them with artificial muscles would further our understanding of natural kinematic structures. We printed a biomimetic hand in a single print process comprised of a rigid skeleton, soft joint capsules, tendons, and printed touch sensors. We showed it's actuation using electric motors. In this work, we expand on this work by adding a forearm that is also closely modeled after the human anatomy and replacing the hand's motors with 22 independently controlled pneumatic artificial muscles (PAMs). Our thin, high-strain (up to 30.1 %) PAMs match the performance of state-of-the-art artificial muscles at a lower cost. The system showcases human-like dexterity with independent finger movements, demonstrating successful grasping of various objects, ranging from a small, lightweight coin to a large can of 272 g in weight. The performance evaluation, based on fingertip and grasping forces along with finger joint range of motion, highlights the system's potential.
Problem

Research questions and friction points this paper is trying to address.

Replicating human hand anatomy with pneumatic artificial muscles
Developing low-cost high-strain artificial muscles for biomimetic systems
Creating dexterous robotic hands capable of grasping diverse objects
Innovation

Methods, ideas, or system contributions that make the work stand out.

Vision Controlled Jetting for single-print biomimetic structures
Pneumatic artificial muscles replacing electric motors
High-strain thin PAMs enabling human-like dexterity
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