A Soft Collaborative Robot for Contact‐based Intuitive Human Drag Teaching
Source abstract
Abstract
Abstract Soft material‐based robots, known for their safety and compliance, are expected to play an irreplaceable role in human‐robot collaboration. However, this expectation is far from real industrial applications due to their complex programmability and poor motion precision, brought by the super elasticity and large hysteresis of soft materials. Here, a soft collaborative robot (Soft Co‐bot) with intuitive and easy programming by contact‐based drag teaching, and also with exceptional motion repeatability (< 0.30% of body length) and ultra‐low hysteresis (< 2.0%) is reported. Such an unprecedented capability is achieved by a biomimetic antagonistic design within a pneumatic soft robot, in which cables are threaded to servo motors through tension sensors to form a self‐sensing system, thus providing both precise actuation and dragging‐aware collaboration. Hence, the Soft Co‐bots can be first taught by human drag and then precisely repeat various tasks on their own, such as electronics assembling, machine tool installation, etc. The proposed Soft Co‐bots exhibit a high potential for safe and intuitive human‐robot collaboration in unstructured environments, promoting the immediate practical application of soft robots.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Robot Manipulation and Learning · Soft Robotics and Applications · Teleoperation and Haptic Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
University of Michigan–Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai 200240 China
School of Mechanical Engineering and State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai 200240 China
School of Aerospace Engineering and Applied Mechanics Tongji University Shanghai 200092 China
Funding
National Natural Science Foundation of China
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