A Pin-Array Structure for Gripping and Shape Recognition of Convex and Concave Terrain Profiles
By: Takuya Kato, Kentaro Uno, Kazuya Yoshida
This paper presents a gripper capable of grasping and recognizing terrain shapes for mobile robots in extreme environments. Multi-limbed climbing robots with grippers are effective on rough terrains, such as cliffs and cave walls. However, such robots may fall over by misgrasping the surface or getting stuck owing to the loss of graspable points in unknown natural environments. To overcome these issues, we need a gripper capable of adaptive grasping to irregular terrains, not only for grasping but also for measuring the shape of the terrain surface accurately. We developed a gripper that can grasp both convex and concave terrains and simultaneously measure the terrain shape by introducing a pin-array structure. We demonstrated the mechanism of the gripper and evaluated its grasping and terrain recognition performance using a prototype. Moreover, the proposed pin-array design works well for 3D terrain mapping as well as adaptive grasping for irregular terrains.
Similar Papers
Improving Grip Stability Using Passive Compliant Microspine Arrays for Soft Robots in Unstructured Terrain
Robotics
Robots grip better, climb walls, and move on rough ground.
Designing Pin-pression Gripper and Learning its Dexterous Grasping with Online In-hand Adjustment
Robotics
Fingers change shape to grab anything.
3D Mapping Using a Lightweight and Low-Power Monocular Camera Embedded inside a Gripper of Limbed Climbing Robots
Robotics
Lets robots climb walls using just one camera.