🤖 AI Summary
Addressing the challenge of simultaneously achieving high-precision manipulation and collision safety in unstructured human–robot collaborative environments, this paper proposes a passive dual-mode stiffness flexible wrist mechanism. The core innovation is a novel sensor-free, passive stiffness-switching mechanism based on soft buckling honeycomb structures, enabling autonomous, adaptive transitions between high- and low-stiffness states without sensors or active control. The mechanism features a modular mechanical interface compatible with mainstream grippers—including Panda, Robotiq, and BaRiFlex. Experimental results demonstrate that the wrist sustains a 500 g load stably under ≤1 cm fingertip deflection. In surface wiping, precise pick-and-place, and confined-space grasping tasks, it significantly simplifies control logic while enhancing operational robustness and contact safety.
📝 Abstract
Robotic manipulation in unstructured, humancentric environments poses a dual challenge: achieving the precision need for delicate free-space operation while ensuring safety during unexpected contact events. Traditional wrists struggle to balance these demands, often relying on complex control schemes or complicated mechanical designs to mitigate potential damage from force overload. In response, we present BiFlex, a flexible robotic wrist that uses a soft buckling honeycomb structure to provides a natural bimodal stiffness response. The higher stiffness mode enables precise household object manipulation, while the lower stiffness mode provides the compliance needed to adapt to external forces. We design BiFlex to maintain a fingertip deflection of less than 1 cm while supporting loads up to 500g and create a BiFlex wrist for many grippers, including Panda, Robotiq, and BaRiFlex. We validate BiFlex under several real-world experimental evaluations, including surface wiping, precise pick-and-place, and grasping under environmental constraints. We demonstrate that BiFlex simplifies control while maintaining precise object manipulation and enhanced safety in real-world applications.