Download e-book for iPad: Advances in Autonomous Robotics Systems: 15th Annual by Michael Mistry, Aleš Leonardis, Mark Witkowski, Chris

By Michael Mistry, Aleš Leonardis, Mark Witkowski, Chris Melhuish

ISBN-10: 3319104004

ISBN-13: 9783319104003

ISBN-10: 3319104012

ISBN-13: 9783319104010

This ebook constitutes the refereed court cases of the fifteenth convention on Advances in self reliant Robotics, TAROS 2014, held in Birmingham, united kingdom, in September 2014. The 23 revised complete papers offered including nine prolonged abstracts have been rigorously reviewed and chosen from forty eight submissions. the general application covers a variety of features of robotics, together with navigation, making plans, sensing and belief, flying and swarm robots, ethics, humanoid robotics, human-robot interplay, and social robotics.

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Additional info for Advances in Autonomous Robotics Systems: 15th Annual Conference, TAROS 2014, Birmingham, UK, September 1-3, 2014. Proceedings

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Com/overview 11. org 12. : A New Architecture to Execute CAs-Based Path-Planning Algorithm in Mobile Robots. In: IEEE Int. Conf. on Mechatronics, pp. 478–482 (2006) 13. : A novel cellular automata based real time path planning method for mobile robots. Int. Journal of Engineering Research and Applications (2011) 14. : A Cellular Automaton Collision- Free Path Planner Suitable for Cooperative Robots. In: Panhellenic Conf. on Informatics (2008) 15. : Cellular ants: A method to create collision free trajectories for a cooperative robot team.

2. Drone was placed a few meters before the initial mapping point, which is reflected by MCL, but not by the dead-reckoning, see Figure 1(d). Drone’s ‘replay 1’ (see Figure 1(c)) it can be seen that after the initial convergence of MCL, the position estimates differ only slightly. However, there is a particular difference at the segment end where the drone actually overshot the ending point. In this case, MCL correctly estimates that the robot has reached the end, while with dead-reckoning the estimate goes beyond the segment length.

The results show a real improvement in the robot performance. Keywords: Autonomous Robotics, Cellular Automata, Path Planning. 1 Introduction Path planning is one of the most-studied tasks in autonomous robots [1]. Traditional approaches to path planning are: route maps [2], cell decomposition [3] and potential field [4]. Since they are totally discrete models, cellular automata (CA) [5], [6] have also been recently considered for path planning [7], [8], [9], [12], [13], [14], [15], [16], [17], [18].

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Advances in Autonomous Robotics Systems: 15th Annual Conference, TAROS 2014, Birmingham, UK, September 1-3, 2014. Proceedings by Michael Mistry, Aleš Leonardis, Mark Witkowski, Chris Melhuish


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