(84)90023-9ĭe Ryck, M., Versteyhe, M., Debrouwere, F.: Automated guided vehicle systems, state-of-the-art control algorithms and techniques. 1–8, June 2019Ĭohen, H.H., Jensen, R.C.: Measuring the effectiveness of an industrial lift truck safety training program. Ĭao, L., Depner, T., Borstell, H., Richter, K.: Discussions on sensor-based assistance systems for forklifts. Ĭantini, A., De Carlo, F., Tucci, M.: Towards forklift safety in a warehouse: an approach based on the automatic analysis of resource flows. Keywordsīoehning, M.: Improving safety and efficiency of AGVs at warehouse black spots. Within our extensive evaluation, we use a warehouse simulation to verify our approach and to estimate the impact on an automated forklift’s performance. Therefore, the proposed architecture is able to mitigate these faults and gracefully degrades performance if required. This includes a safety critical function using wireless communication, which sporadically might be unavailable or disturbed. We propose an architecture that uses infrastructure sensors to prevent human-robot collisions at blind corners with respect to automated forklifts. Based on the examination of blind corner scenarios in a warehouse, we derive the relevant critical situations. However, current standards still rely on the awareness of humans to avoid collisions, which is limited at corners with occlusion. The automation of vehicles is usually tied to an argument on improved safety. Especially, blind corners pose a critical scenario, in which infrastructure-based sensors can provide more safety. Co-working and interaction of automated systems and humans in a warehouse is a significant challenge of progressing industrial systems’ autonomy.

Blind Corners by Jemir Robert Johnson