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Multi-Joint Active Collision Avoidance for Robot Based on Depth Visual Perception

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摘要 Dear editor,Human-robot collaboration is a research topic that has numerous potential applications, such as in smart cities. An important safety consideration in human-robot collaboration is collision avoidance[1]. Many studies have prioritized collision avoidance of the robot end-effector. However, multi-joint(whole-body) collision avoidance is also very important in complex working scenarios. Several studies have achieved multi-joint collision avoidance by estimating the distance between obstacles and control points placed on the robot body.
出处 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2022年第12期2186-2189,共4页 自动化学报(英文版)
基金 supported in part by the National Key Research and Development Program of China(2018YFB1305300) the China Postdoctoral Science Foundation(2020TQ0039,2021M700425) the National Natural Science Foundation of China(61733001,62103054,U2013602,61873039,U1913211,U1713215)。
关键词 ROBOT ROBOT VISUAL
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