By Michael Mistry, Aleš Leonardis, Mark Witkowski, Chris Melhuish
This e-book constitutes the refereed complaints of the fifteenth convention on Advances in self sufficient Robotics, TAROS 2014, held in Birmingham, united kingdom, in September 2014. The 23 revised complete papers awarded including nine prolonged abstracts have been conscientiously reviewed and chosen from forty eight submissions. the final application covers a number of points of robotics, together with navigation, making plans, sensing and belief, flying and swarm robots, ethics, humanoid robotics, human-robot interplay, and social robotics.
Read or Download Advances in Autonomous Robotics Systems: 15th Annual Conference, TAROS 2014, Birmingham, UK, September 1-3, 2014. Proceedings PDF
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Extra info for Advances in Autonomous Robotics Systems: 15th Annual Conference, TAROS 2014, Birmingham, UK, September 1-3, 2014. Proceedings
In: Proceedings of the International Conference on Advanced Robotics, Montevideo. IEEE (2013) 12. : Monte Carlo localization for mobile robots. In: IEEE International Conference on Robotics and Automation, vol. 2 (1999) 13. : Object tracking based on extended surf and particle ﬁlter. , Han, K. ) ICIC 2013. LNCS, vol. 7996, pp. 649–657. Springer, Heidelberg (2013) 14. : An Object Tracking Algorithm Based on Global SURF Feature. Journal of Information and Computational Science 10(7), 2159–2167 (2013) 15.
Dev. is small enough, dead-reckoning is used to update the last good single-hypothesis whenever MCL is busy computing or it has failed to ﬁnd a good position estimate. 5 Experiments The proposed system was implemented in C/C++ within the ROS (Robot Operating System) framework as a set of separate ROS modules. In order to achieve high performance of the system, each module was implemented as a ROS nodelet (a thread). Drone aerial robot. The P3-AT’s training run was ∼ 100 m long while the AR-Drone map consisted of a ∼ 70 m long ﬂight.
Journal of Information and Computational Science 10(7), 2159–2167 (2013) 15. : Robust vision-based localization by combining an image-retrieval system with monte carlo localization. Transactions on Robotics 21(2), 208–216 (2005) 16. : Visual teach and repeat, repeat, repeat: Iterative Learning Control to improve mobile robot path tracking in challenging outdoor environments. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 176–181 (November 2013) 17. : Vistas and wall-ﬂoor intersection features-enabling autonomous ﬂight in man-made environments.