2021
DOI: 10.1007/978-981-16-7213-2_36
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Robot Dynamic Collision Detection Method Based on Obstacle Point Cloud Envelope Model

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Cited by 1 publication
(2 citation statements)
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“…To deal with the limitation of the RRT* algorithm for collision checks with rigid body constraints in states 1# and 2#, the algorithm is refined to incorporate the Minkowski Difference computation. The computation checks whether two shapes A and B have points in common by applying the symmetric difference function ( A ⊖ B = { a − b | a ∈ A , b ∈ B }, where a and b represent random points in the geometric models of shapes A and B respectively) [ 41 ]. If they do have a point in common, then a − b = 0 exists in the A ⊖ B set and the collision is detected.…”
Section: System Architecture Of the Approachmentioning
confidence: 99%
See 1 more Smart Citation
“…To deal with the limitation of the RRT* algorithm for collision checks with rigid body constraints in states 1# and 2#, the algorithm is refined to incorporate the Minkowski Difference computation. The computation checks whether two shapes A and B have points in common by applying the symmetric difference function ( A ⊖ B = { a − b | a ∈ A , b ∈ B }, where a and b represent random points in the geometric models of shapes A and B respectively) [ 41 ]. If they do have a point in common, then a − b = 0 exists in the A ⊖ B set and the collision is detected.…”
Section: System Architecture Of the Approachmentioning
confidence: 99%
“…To quantitatively evaluate the obstacle avoidance performance of the developed approach, the Minkowski distances between the obstacle space χ obs and the manipulated building objects obj at different states along the planned trajectories were calculated. The Minkowski distance is a minimum distance measurement between 3D geometries [ 41 ]. Taking the different states in the purlin assembly process illustrated in Fig.…”
Section: Testing Of the Approachmentioning
confidence: 99%