SafeMind is a differentiable framework that combines probabilistic control barrier functions, semantic context encoding, and meta-adaptive risk calibration to deliver safer, lower-energy quadruped locomotion under uncertainty.
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SafeMind: A Risk-Aware Differentiable Control Framework for Adaptive and Safe Quadruped Locomotion
SafeMind is a differentiable framework that combines probabilistic control barrier functions, semantic context encoding, and meta-adaptive risk calibration to deliver safer, lower-energy quadruped locomotion under uncertainty.