Dimensions overall score 8.0

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• The Inspire RH56DFX hand shows unreliable contact behavior at high speed with up to 1618% force limit overshoot.limitation 95%
• The underactuated, coupled finger linkages of the Inspire RH56DFX hand make antipodal grasps non-trivial.limitation 90%
• The paper's hybrid, closed-loop speed-force grasp controller achieves 65% success on peg-in-hole insertion, outperforming a wrist-force-only baseline of 10%.result 95%
• The approach achieves 87% success on 300 grasps across 15 physically diverse objects, outperforming plan-free grasps and learned grasps.result 95%
• The paper contributes a sim2real validated MuJoCo model for analytical width-to-grasp planning for the Inspire RH56DFX hand.method 90%
• The paper contributes hardware characterization including force calibration, latency, and overshoot measurements for the Inspire RH56DFX hand.method 90%
• The approach is designed for compatibility with external object detectors and vision-language models for width & force estimation and high-level planning.technical 85%
• Commercially accessible dexterous robot hands are increasingly prevalent but many remain difficult to use as scientific instruments.market 80%

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