Ultra-Low-Impedance Robotic Gripper for High-Bandwidth and Transparent Physical Interaction

• URL: http://arxiv.org/abs/2608.09198v1
• Date: Mon, 10 Aug 2026 07:11:51 GMT
• Title: Ultra-Low-Impedance Robotic Gripper for High-Bandwidth and Transparent Physical Interaction
• Abstract summary: High-ratio transmissions increase friction, reflected inertia, and mechanical impedance, while external sensors add hardware complexity.<n>This study proposes a novel 9-DOF, three-fingered Differential Direct-Drive (DDD) gripper that combines DD motors with a low-ratio (1:2) differential transmission.<n>Experiments show that the prototype delivers a nominal grasping force of approximately 18 N and a fingertip force of 4.7 N, while maintaining a low motor contribution to system inertia (0.236%) and low passive mechanical impedance, with a maximum measured value of 50.1 N/m when the motors are unpowered.
• Score: 2.333340142983212
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Conventional robotic grippers often use high-ratio transmissions to generate grasping torque and external force sensors to measure physical interaction. High-ratio transmissions increase friction, reflected inertia, and mechanical impedance, while external sensors add hardware complexity. To address these trade-offs, this study proposes a novel 9-DOF, three-fingered Differential Direct-Drive (DDD) gripper that combines DD motors with a low-ratio (1:2) differential transmission. The mechanism centralizes actuator mass at the base to minimize moving-link inertia, while the differential architecture couples two motors in parallel to amplify torque during flexion. Experiments show that the prototype delivers a nominal grasping force of approximately 18 N and a fingertip force of 4.7 N, while maintaining a low motor contribution to system inertia (0.236%) and low passive mechanical impedance, with a maximum measured value of 50.1 N/m when the motors are unpowered. The proposed hardware addresses the trade-offs among torque, physical transparency, and kinematic dexterity, providing a foundation for high-bandwidth interaction and sensorless proprioceptive force estimation.

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