Erratum: Flexible sensor concept and an integrated collision sensing for efficient human-robot collaboration using 3D local global sensors
Frontiers Production Office*- Frontiers Media SA, Lausanne, Switzerland
by Rashid A, Alnaser I, Bdiwi M and Ihlenfeldt S (2023). Front. Robot. AI 10:1028411. doi: 10.3389/frobt.2023.1028411
Due to a production error, there was an error in the figures as published. The correct Figures 2–9, Figures 11, 12 appear below.
The article title was revised to read “Flexible sensor concept and an integrated collision sensing for efficient human-robot collaboration using 3D local global sensors”.
The publisher apologizes for these mistakes. The original version of this article has been updated.
FIGURE 2. Proposed flexible and efficient sensor system.
FIGURE 3. Simplified co-existence cell.
FIGURE 4. Different types of occlusions.
FIGURE 5. LiDAR sensor concept.
FIGURE 6. Constrained occlusion with sensor at middle of fence.
FIGURE 7. Constrained occlusion with sensor at the entrance.
FIGURE 8. Data Capturing experiment for safety parameter estimation.
FIGURE 9. Complete trajectory for collision sensing and stop trigger for a single iteration.
FIGURE 11. Box plot on multiple iterations at multiple robot velocities.
FIGURE 12. Safety distance and robot velocity for local (co-moving) and global collision sensing.
Keywords: collision avoidance, human–robot collaboration, intrusion distance, sensor concept, distance sensors
Citation: Frontiers Production Office (2023) Erratum: Flexible sensor concept and an integrated collision sensing for efficient human-robot collaboration using 3D local global sensors. Front. Robot. AI 10:1228130. doi: 10.3389/frobt.2023.1228130
Received: 24 May 2023; Accepted: 24 May 2023;
Published: 13 June 2023.
Approved by
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