A new HW/SW architecture to move from AGVs towards Autonomous Mobile Robots

This paper proposes the basic concepts of a brand new HW/SW architecture, whose development is in progress through an academic/industrial collaboration, aimed at obtaining a mobile agent capable to merge in itself the standard characteristics of the Automated Guided Vehicles and some potentialities of the Autonomous Mobile Robots, with a particular care for safety issues. Its HW/SW features, together with its mechanical characteristics, make it potentially applicable both in industrial and research contexts.

[1]  Marina Indri,et al.  Smart Sensors Applications for a New Paradigm of a Production Line , 2019, Sensors.

[2]  O Garcia,et al.  Hardware and software architecture of a mobile robot with anthropomorphic arm , 2010, 2010 IEEE ANDESCON.

[3]  S.A. Mantserov,et al.  Group Robotic Platform Based on Mechanisms of Swarm Intelligence , 2018, 2018 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).

[4]  Lounis Adouane,et al.  Design of Collaborative Cross and Carry Mobile Robots C3Bots , 2014 .

[5]  Hak Kyeong Kim,et al.  Kinect camera sensor-based object tracking and following of four wheel independent steering automatic guided vehicle using Kalman filter , 2015, 2015 15th International Conference on Control, Automation and Systems (ICCAS).

[6]  Ray Y. Zhong,et al.  Smart automated guided vehicles for manufacturing in the context of Industry 4.0 , 2018 .

[7]  Andreas Zell,et al.  Generic 3D obstacle detection for AGVs using time-of-flight cameras , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[8]  Leopoldo Armesto,et al.  Hardware architectures for mobile robots , 2003 .

[9]  Valentyn N. Sichkar Reinforcement Learning Algorithms in Global Path Planning for Mobile Robot , 2019, 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).

[10]  Linda Kobayashi,et al.  Extensible Hardware Architecture for Mobile Robots , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.