Problem
Research questions and friction points this paper is trying to address.
Soft robot manipulator
Design optimization
Gravitational loads
Blocking force
Anti-bucking constraint
Design Optimization for Large High-Force Soft Robot Manipulators Under Gravitational Loads
🤖 AI Summary
This study addresses the absence of systematic design frameworks for large-scale, high-force soft robots under gravitational loads by proposing a geometry optimization method incorporating buckling constraints. By formulating a constrained optimization model and deriving closed-form analytical solutions, this approach enables both blocking force maximization and a priori performance evaluation. Physical experiments across three configurations validate that the method accurately predicts constraint satisfaction and maximum end-effector output force. This work establishes the first explicit analytical solution and design assessment framework for geometric optimization of large-scale soft manipulators, providing reliable theoretical tools for developing large-scale interactive soft robotic systems.
📝 Abstract
Designing large soft robots capable of generating high forces for physical human-robot interaction remains a significant challenge in soft robotics. Prior work in large soft robots has focused on proof-of-concept prototypes, and no systematic framework exists for determining the suitability of a design paradigm for a desired task. This manuscript introduces a method for optimizing the geometry of a soft robot limb, maximizing its blocking force subject to an anti-bucking constraint under its own gravitational loading. We demonstrate that an explicit solution exists to the proposed optimization problem under certain assumptions. Experiments with three geometries of a large, soft, pneumatically-actuated manipulator demonstrate that the method correctly predicts which designs meet constraints and which produces the largest end-effector forces. This method, with its closed-form solution, can allow designers to determine a-priori if an intended class of soft manipulators is an appropriate choice for physical interaction at large size scales.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Design Optimization
Soft Robot Manipulators
Gravitational Loads
Closed-form Solution
Anti-bucking Constraint
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2024-09-12arXiv.orgCitations: 0
