2020
DOI: 10.1016/j.rcim.2020.101948
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A virtual-physical collision detection interface for AR-based interactive teaching of robot

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Cited by 37 publications
(12 citation statements)
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“…Generally speaking, the research content of collision detection algorithm is how to detect the collision between different objects in virtual scene faster and better. Collision detection between virtual scene and physical scene is the key to test the feasibility of path [38]. The existing collision detection algorithms are generally divided into three main methods: spatial partition method, hierarchical bounding box method and GJK method.…”
Section: Implementation Of Collision Detection Algorithm 431 Methods ...mentioning
confidence: 99%
“…Generally speaking, the research content of collision detection algorithm is how to detect the collision between different objects in virtual scene faster and better. Collision detection between virtual scene and physical scene is the key to test the feasibility of path [38]. The existing collision detection algorithms are generally divided into three main methods: spatial partition method, hierarchical bounding box method and GJK method.…”
Section: Implementation Of Collision Detection Algorithm 431 Methods ...mentioning
confidence: 99%
“…Additionally, automatic algorithms for object detection and registration are time-consuming and hard to perform in real-time (Makhataeva & Varol, 2020 ). Recently, Chen et al ( 2020 ) presented a virtual-physical collision detection method applied in robot programming, but its performance depends on the appropriate placement of sensors in opposite of the user, a proper camera angle, and an unobstructed environment.…”
Section: Related Workmentioning
confidence: 99%
“…Avoiding collisions between users and robots within VEs has been explored primarily in the context of user training for robot teleoperation (Kuts et al, 2017;Guhl et al, 2018;Oyekan et al, 2019;Chen et al, 2020). The work of Oyekan et al (2019) reported that users' stress concerning the robot's presence in a shared workspace increased under three conditions: when the robot's speed increased 1), when the user and robot were close 2), and when the user did not know what the robot was going to do next 3).…”
Section: Visual Feedback For Avoiding Collisions With Robotsmentioning
confidence: 99%