Obstacle Avoidance Technique for Mobile Robots at Autonomous Human-Robot Collaborative Warehouse Environments

This paper presents an obstacle avoidance technique for a mobile robot in human-robot collaborative (HRC) tasks. The proposed solution uses fuzzy logic rules and a convolutional neural network (CNN) in an integrated approach to detect objects during vehicle movement. The goal is to improve the robot...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 25; číslo 8; s. 2387
Hlavní autori:	Sousa, Lucas C., Silva, Yago M. R., Schettino, Vinícius B., Santos, Tatiana M. B., Zachi, Alessandro R. L., Gouvêa, Josiel A., Pinto, Milena F.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 09.04.2025 MDPI
Predmet:	Algorithms Artificial intelligence Cameras Collaboration Comparative analysis Control Coordinate transformations Decision making Efficiency Fuzzy algorithms Fuzzy Logic Fuzzy systems human-robot coexistence Humans industrial environment Manufacturing Methods Mobile robots Navigation Navigation systems Neural networks Neural Networks, Computer Productivity robot navigation Robotics Robotics - methods Robots safety collaboration Sensors shareable workspace Technology application Workers Brazil robot navigation industrial environment shareable workspace human-robot coexistence safety collaboration
ISSN:	1424-8220, 1424-8220
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