Pregled bibliografske jedinice broj: 1151408
Vision based collision detection for a safe collaborative industrial manipulator
Vision based collision detection for a safe collaborative industrial manipulator // 2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR)
Nagoya, Japan: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 334-337 doi:10.1109/ISR50024.2021.9419493 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Vision based collision detection for a safe
collaborative industrial manipulator
Autori
Marić, Bruno ; Juričan, Fran ; Orsag, Matko ; Kovačić, Zdenko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR)
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2021, 334-337
Skup
2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR 2021)
Mjesto i datum
Nagoya, Japan, 04.03.2021. - 06.03.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Robot vision, collaborative manipulator, safe operation
Sažetak
In this work we present an improved method for collision detection that extends the ability of collaborative systems to share the workspace between the operator and the robot. Our work is based on the state-of-the-art GPU-Voxels algorithm, with a dynamic swept volume method for collision detection that minimizes intervention in robot trajectories. We propose a sensor calibration method that allows multiple cameras to be placed around the robot to ensure coverage without shadows. In addition, we show how our previous work on advanced force control algorithms, which in combination with the collision detection algorithm presented, meets all safety requirements of the technical specification ISO/TS 15066. Our ultimate goal is to derive a framework for collaborative industrial manipulators, which are able to work side by side with people.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb