Front. Robot. AI

Frontiers in Robotics and AI

Front. Robot. AI

2296-9144

Frontiers Media S.A.

1228130

10.3389/frobt.2023.1228130

Robotics and AI

Erratum

Erratum: Flexible sensor concept and an integrated collision sensing for efficient human-robot collaboration using 3D local global sensors

Frontiers Production Office

10.3389/frobt.2023.1228130

Frontiers Production Office *

Frontiers Media SA, Lausanne, Switzerland

Approved by Frontiers Editorial Office, Frontiers Media SA, Switzerland

*Correspondence: Frontiers Production Office, production.office@frontiersin.org

13 06 2023

2023

1228130

24 05 2023 24 05 2023

2023

Frontiers Production Office

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

An Erratum on Flexible sensor concept and an integrated collision sensing for efficient human-robot collaboration using 3D local global sensors by Rashid A, Alnaser I, Bdiwi M and Ihlenfeldt S (2023). Front. Robot. AI 10:1028411. doi: 10.3389/frobt.2023.1028411

collision avoidance human–robot collaboration intrusion distance sensor concept distance sensors

section-at-acceptance

Robotic Control Systems

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.