Assessing the probability of human injury during UV-C treatment of crops by robots

Khalid, Muhammad, Guevara, Leonardo, Hanheide, Marc and Parsons, Simon (2021) Assessing the probability of human injury during UV-C treatment of crops by robots. In: 4th UK-RAS Conference, June 2nd 2021, Online.

Full content URL:

Assuring autonomy of robots in soft fruit production
Using_AI_for_assuring_safe_autonomy_of_robots_in_soft_fruit_production.pdf - Whole Document

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


This paper describes our work to assure safe autonomy in soft fruit production. The first step was hazard analysis, where all the possible hazards in representative scenarios were identified. Following this analysis, a three-layer safety architecture was identified that will minimise the occurrence of the identified hazards. Most of the hazards are minimised by upper layers, while unavoidable hazards are handled using emergency stops. In parallel, we are using probabilistic model checking to check the probability of a hazard's occurrence. The results from the model checking will be used to improve safety system architecture.

Keywords:Agricultural robotics, Human-robot interaction
Subjects:G Mathematical and Computer Sciences > G700 Artificial Intelligence
H Engineering > H671 Robotics
Divisions:College of Science > School of Computer Science
ID Code:46541
Deposited On:05 Oct 2021 13:52

Repository Staff Only: item control page