Environment feature recognition algorithm for rescue robot based on a 2D laser radar

It is very important for mobile robot to recognize the surrounding 3D environment in a unknown workspace. This paper proposes a 2D laser radar based 3D environment feature recognition algorithm which is applied to a novel rescue robot with wireless control system. It is used to help rescue robot to avoid obstacles in complex unstructured environment. Firstly, a multi-linked tracked robot platform and the features of control system are introduced. Reliable structure and control system ensure the stability of robot. Then the algorithm of 2D laser radar based 3D environment feature recognition is introduced. It makes a good use of the advantage of the laser radar, and this algorithm can effectively identify the area where there is no obstacle by a simple and fast way. Finally, the communication performance of the control system and the stability and accuracy of this feature recognition algorithm is verified by experiment.

[1]  Van-Dung Hoang,et al.  Laser based obstacle avoidance strategy for autonomous robot navigation using DBSCAN for versatile distance , 2014, 2014 7th International Conference on Human System Interactions (HSI).

[2]  A. Paulo Moreira,et al.  Object recognition using laser range finder and machine learning techniques , 2013 .

[3]  K. Suzumori,et al.  A mobile jack robot for rescue operation , 2005, IEEE International Safety, Security and Rescue Rototics, Workshop, 2005..

[4]  Fumitoshi Matsuno,et al.  Development of the Snake-like Rescue Robot. , 2004 .

[5]  Belén Curto,et al.  Clustering and line detection in laser range measurements , 2010, Robotics Auton. Syst..

[6]  Alina Voda,et al.  Laser-based obstacle avoidance algorithm for four driving/steering wheels autonomous vehicle , 2013, 2013 17th International Conference on System Theory, Control and Computing (ICSTCC).

[7]  Byung-Ju Yi,et al.  Development of a Laser-Range-Finder-Based Human Tracking and Control Algorithm for a Marathoner Service Robot , 2014, IEEE/ASME Transactions on Mechatronics.

[8]  Nasser Kehtarnavaz,et al.  Proceedings of SPIE - The International Society for Optical Engineering , 1991 .

[9]  Tetsushi Kamegawa,et al.  Development of the snake-like rescue robot "kohga" , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[10]  Sebastian Thrun,et al.  A campaign in autonomous mine mapping , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[11]  Yoram Swirski,et al.  Recognition of tanks using laser radar (LADAR) images , 2004, SPIE Security + Defence.