Integration of a Human-aware Risk-based Braking System into an Open-Field Mobile Robot

Autor:	Grzegorz Cielniak, Pål Johan From, Jose C. Mayoral, Lars Grimstad
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Hazard (logic) Computer science business.industry Feature (computer vision) Simulated data Real-time computing Braking system Trajectory Mobile robot business Motion (physics) Risk management
Zdroj:	IEEE International Conference on Robotics and Automation (ICRA), 2021, Xi'an, China. ICRA
Popis:	Safety integration components for robotic applications are a mandatory feature for any autonomous mobile application, including human avoidance behaviors. This paper proposes a novel parametrizable scene risk evaluator for open-field applications that use humans motion predictions and pre-defined hazard zones to estimate a braking factor. Parameters optimization uses simulated data. The evaluation is carried out by simulated and real-time scenarios, showing the impact of human predictions in favor of risk reductions on agricultural applications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cf567b09eadd7a0e950b9b40fa7b614 https://hdl.handle.net/11250/2831316 Zobrazit plný text záznamu