Computational Synthesis of Wearable Robot Mechanisms: Application to Hip-Joint Mechanisms
Seok Won Kang, Jegyeong Ryu, Suh In Kim, Youngsoo Kim, Yoon Young Kim

TL;DR
This paper introduces an autonomous computational method for designing wearable robot mechanisms, specifically hip-joint mechanisms, using gradient-based optimization to efficiently explore complex design spaces and validate functionality through simulations and prototypes.
Contribution
The paper presents a novel gradient-based optimization approach for synthesizing wearable robot mechanisms, enabling arbitrary topology generation and eliminating exhaustive search methods.
Findings
Successfully designed non-series-type hip joint mechanisms
Validated multi-moment assistance capability through biomechanical simulations
Fabricated prototypes confirming wearability and functionality
Abstract
Since wearable linkage mechanisms could control the moment transmission from actuator(s) to wearers, they can help ensure that even low-cost wearable systems provide advanced functionality tailored to users' needs. For example, if a hip mechanism transforms an input torque into a spatially-varying moment, a wearer can get effective assistance both in the sagittal and frontal planes during walking, even with an affordable single-actuator system. However, due to the combinatorial nature of the linkage mechanism design space, the topologies of such nonlinear-moment-generating mechanisms are challenging to determine, even with significant computational resources and numerical data. Furthermore, on-premise production development and interactive design are nearly impossible in conventional synthesis approaches. Here, we propose an innovative autonomous computational approach for synthesizing…
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Taxonomy
TopicsProsthetics and Rehabilitation Robotics · Robotic Mechanisms and Dynamics · Manufacturing Process and Optimization
