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Combining Locomotion and Grasping Functionalities in Soft Robots

Alexander Yin, Hung-Ching Lin, Joanna Thelen, Benjamin Mahner, Tommaso Ranzani

发表年份
2019
引用次数
24
访问权限
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摘要

In recent years, the field of soft robotics has grown considerably, demonstrating robots with advanced locomotion capabilities as well as robust grasping and manipulation with respect to their rigid counterparts. The combination of locomotion and grasping capabilities entails a unique set of challenges in soft robotics that have not been fully explored yet, such as the capability to carry a payload without compromising its motion capabilities, and how to adjust changes in the center of mass of the robot. Herein, a soft robotic platform is proposed that demonstrates simultaneous locomotion and grasping. The challenges that such a soft robot would encounter are explored in terms of stability of the robot while supporting a payload and variations in the location of the center of mass. The robot has 13 independently controllable degrees of freedom to study different locomotion and grasping strategies. A passive stiffening methodology is also presented that allows the robot body to statically sustain up to 7.7 times its body weight (BW), and to walk carrying a payload up to 100% times its BW.

关键词

Payload (computing)RobotSoft roboticsRoboticsArtificial intelligenceComputer scienceSoft materialsRobot locomotionDegrees of freedom (physics and chemistry)Control engineering

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