Interacting with a multi AGV system

This paper introduces a novel Human Machine Interface (HMI) that allows users to interact with a fleet of Automated Guided Vehicles (AGVs) used for logistics operations in industrial environments. The interface is developed for providing operators with information regarding the fleet of AGVs, and the status of the industrial environment. Information is provided in an intuitive manner, utilizing a three-dimensional representation of the elements in the environment. The HMI also allows operators to influence the behavior of the fleet of AGVs, manually inserting missions to be accomplished.

[1]  Fabio Oleari,et al.  Technological roadmap to boost the introduction of AGVs in industrial applications , 2013, 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP).

[2]  Cristian Secchi,et al.  Coordination of industrial AGVs , 2011 .

[3]  Lorenzo Sabattini,et al.  Hierarchical traffic control for partially decentralized coordination of multi AGV systems in industrial environments , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[4]  Lorenzo Sabattini,et al.  Ensemble Coordination Approach in Multi-AGV Systems Applied to Industrial Warehouses , 2015, IEEE Transactions on Automation Science and Engineering.

[5]  Lorenzo Sabattini,et al.  Industrial AGVs: Toward a pervasive diffusion in modern factory warehouses , 2014, 2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP).

[6]  D. Herrero-Perez,et al.  Decentralized coordination of autonomous AGVs in flexible manufacturing systems , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Brian Yamauchi,et al.  PackBot: a versatile platform for military robotics , 2004, SPIE Defense + Commercial Sensing.

[8]  Massimiliano Magnani,et al.  Improving AGV systems: Integration of advanced sensing and control technologies , 2015, 2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP).

[9]  Mica R. Endsley,et al.  Toward a Theory of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.

[10]  Lorenzo Sabattini,et al.  An automatic approach for the generation of the roadmap for multi-AGV systems in an industrial environment , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  Cristian Secchi,et al.  Coordination of multiple AGVs in an industrial application , 2008, 2008 IEEE International Conference on Robotics and Automation.

[12]  Toshihiro Tsumura AGV in Japan-recent trends of advanced research, development, and industrial applications , 1994, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94).

[13]  Lorenzo Sabattini,et al.  Towards decentralized coordination of multi robot systems in industrial environments: A hierarchical traffic control strategy , 2013, 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP).

[14]  M. Ani Hsieh,et al.  A Quadratic Programming approach for coordinating multi-AGV systems , 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

[15]  Sergiu Nedevschi,et al.  Omnidirectional stereo vision using fisheye lenses , 2014, 2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP).

[16]  Edwin Olson,et al.  A hands-off, multi-robot display for communicating situation awareness to operators , 2012, 2012 International Conference on Collaboration Technologies and Systems (CTS).

[17]  David Herrero Pérez,et al.  Decentralized Traffic Control for Non-Holonomic Flexible Automated Guided Vehicles in Industrial Environments , 2011, Adv. Robotics.

[18]  Raffaello D'Andrea,et al.  Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses , 2007, AI Mag..

[19]  Yael Edan,et al.  Decentralized autonomous AGV system for material handling , 2002 .

[20]  Markus Boehning Improving safety and efficiency of AGVs at warehouse black spots , 2014, 2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP).

[21]  Lorenzo Sabattini,et al.  Obstacle avoidance for industrial AGVs , 2014, 2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP).

[22]  Surya P. N. Singh,et al.  V-REP: A versatile and scalable robot simulation framework , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[23]  Bart Stouten,et al.  Cooperative transportation of a large object - development of an industrial application , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[24]  T. T. Narendran,et al.  Design of an automated guided vehicle-based material handling system for a flexible manufacturing system , 1990 .

[25]  Lorenzo Sabattini,et al.  Multisensor data fusion for obstacle detection in automated factory logistics , 2014, 2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP).