AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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These results are a simulation-based control benchmark, not a clinical safety claim: the modeled tip is a rigid contact point, and flexible-thread mechanics, a validated force constraint, biological damage thresholds, and hardware-realistic sensing and timing remain necessary before deployment.
This paper instantiates the predictive interaction-dynamics framework of the base pHRI formulation on a SEA knee joint by implementing Bounded Assist-as-Needed scheduling, a corrective-channel energy tank, constrained OSQP stress cases, direct MuJoCo execution, and a posture-clamped MyoSuite knee slice.
Three complementary design requirements motivate the present formulation: an explicit force-related constraint, compensation for steady error under persistent loading, and a prediction model that can incorporate trajectory and actuator information.
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