Robust human position estimation in cooperative robotic cells

نویسندگان

چکیده

Robots are increasingly present in our lives, sharing the workspace and tasks with human co-workers. However, existing interfaces for human-robot interaction / cooperation (HRI/C) have limited levels of intuitiveness to use safety is a major concern when humans robots share same workspace. Many times, this due lack reliable estimation pose space which primary input calculate minimum distance (required collision avoidance) HRI/C featuring machine learning algorithms classifying behaviours gestures. Each sensor type has its own characteristics resulting problems such as occlusions (vision) drift (inertial) used an isolated fashion. In paper, it proposed combined system that merges tracking provided by 3D vision set inertial measurement units (IMUs) placed body limbs. The IMUs compensate gaps occluded areas continuity. To mitigate lingering effects IMU offset we propose continuous online calculation value. Experimental tests were designed simulate motion collaborative environment where robot moves away avoid unexpected collisions de human. Results indicate approach able capture human\textsc's position, example forearm, precision millimetre range robustness occlusions.

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ژورنال

عنوان ژورنال: Robotics and Computer-integrated Manufacturing

سال: 2021

ISSN: ['1879-2537', '0736-5845']

DOI: https://doi.org/10.1016/j.rcim.2020.102035