ProACT: An Augmented Reality Testbed for Intelligent Prosthetic Arms
Shivani Guptasarma, Monroe D. Kennedy III

TL;DR
ProACT is an augmented reality testbed designed to evaluate intelligent control methods for complex prosthetic arms, enabling immersive simulation and preliminary testing of semi-autonomous control strategies for whole-arm prostheses.
Contribution
This paper introduces the first testbed for semi-autonomous whole-arm prosthesis control, integrating AR simulation with robotics frameworks for research and development.
Findings
Preliminary studies with non-amputees performing tasks with intent estimation.
ProACT supports future research in intelligent prosthetic control.
Open-source platform available for community use.
Abstract
Upper-limb amputees face tremendous difficulty in operating dexterous powered prostheses. Previous work has shown that aspects of prosthetic hand, wrist, or elbow control can be improved through "intelligent" control, by combining movement-based or gaze-based intent estimation with low-level robotic autonomy. However, no such solutions exist for whole-arm control. Moreover, hardware platforms for advanced prosthetic control are expensive, and existing simulation platforms are not well-designed for integration with robotics software frameworks. We present the Prosthetic Arm Control Testbed (ProACT), a platform for evaluating intelligent control methods for prosthetic arms in an immersive (Augmented Reality) simulation setting. We demonstrate the use of ProACT through preliminary studies, with non-amputee participants performing an adapted Box-and-Blocks task with and without intent…
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Taxonomy
TopicsRobot Manipulation and Learning
