origami gripper
Fish Mouth Inspired Origami Gripper for Robust Multi-Type Underwater Grasping
Guo, Honghao, Huang, Junda, Zhang, Ian, Liang, Boyuan, Ma, Xin, Liu, Yunhui, Zhou, Jianshu
Robotic grasping and manipulation in underwater environments present unique challenges for robotic hands traditionally used on land. These challenges stem from dynamic water conditions, a wide range of object properties from soft to stiff, irregular object shapes, and varying surface frictions. One common approach involves developing finger-based hands with embedded compliance using underactuation and soft actuators. This study introduces an effective alternative solution that does not rely on finger-based hand designs. We present a fish mouth inspired origami gripper that utilizes a single degree of freedom to perform a variety of robust grasping tasks underwater. The innovative structure transforms a simple uniaxial pulling motion into a grasping action based on the Yoshimura crease pattern folding. The origami gripper offers distinct advantages, including scalable and optimizable design, grasping compliance, and robustness, with four grasping types: pinch, power grasp, simultaneous grasping of multiple objects, and scooping from the seabed. In this work, we detail the design, modeling, fabrication, and validation of a specialized underwater gripper capable of handling various marine creatures, including jellyfish, crabs, and abalone. By leveraging an origami and bio-inspired approach, the presented gripper demonstrates promising potential for robotic grasping and manipulation in underwater environments.
- Asia > China > Hong Kong (0.04)
- North America > United States > California > Alameda County > Berkeley (0.04)
- Indian Ocean > Red Sea (0.04)
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RoboHouse Interview Trilogy, part I: Christian Geckeler and the origami gripper
Part one of our RoboHouse Interview Trilogy: The Working Life of Robotics Engineers seeks out Christian Geckeler. Christian is a PhD student at the Environmental Robotics Lab of ETH Zürich. He speaks with Rens van Poppel about the experience of getting high into the wild. What if drones could help place sensors in forests more easily? What if a sensor device could automatically grab and hold a tree branch?