Safety in human-robot collaborative manufacturing environments: Metrics and control 论文

2015IEEE Transactions on Automation Science and Engineering引用 390
Robot Manipulation and LearningRobotic Mechanisms and DynamicsRobotic Path Planning Algorithms

详细信息

发表期刊/会议
IEEE Transactions on Automation Science and Engineering
发表日期
2015-04-03
发表年份
2015

关键词

Robot Manipulation and LearningRobotic Mechanisms and DynamicsRobotic Path Planning Algorithms

摘要

New paradigms in industrial robotics no longer require physical separation between robotic manipulators and humans. Moreover, in order to optimize production, humans and robots are expected to collaborate to some extent. In this scenario, involving a shared environment between humans and robots, common motion generation algorithms might turn out to be inadequate for this purpose. This paper proposes a kinematic control strategy which enforces safety, while maintaining the maximum level of productivity of the robot. The resulting motion of the (possibly redundant) robot is obtained as an output of an optimization-based real-time algorithm in which safety is regarded as a hard constraint to be satisfied. The methodology is experimentally validated on a dual-arm concept robot with 7-DOF per arm performing a manipulation task.