Presents a method that enhances control in robotic hands, suggesting improvements for bio-inspired robotics.
This paper presents a robust control method for robotic hands inspired by brain topographic mapping and phantom limb mechanisms. The proposed approach leverages topological field representations to enhance fault tolerance and adaptive manipulation, enabling the robotic hand to maintain stable performance even under sensor or actuator failures. The method is validated through simulations, demonstrating its potential for applications in bio-inspired robotics and human-robot interaction.
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Bingxing Fu (2026) studied this question.
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