New PDF release: Field and Service Robotics: Results of the 9th International

By Luis Mejias, Peter Corke, Jonathan Roberts

ISBN-10: 3319074873

ISBN-13: 9783319074870

ISBN-10: 3319074881

ISBN-13: 9783319074887

FSR, the overseas convention on box and repair Robotics, is a robotics Symposium which has proven over the last ten years the most recent examine and sensible effects in the direction of using box and repair robotics in the neighborhood with specific concentrate on confirmed know-how. the 1st assembly was once held in Canberra, Australia, in 1997. when you consider that then the assembly has been held each years within the development Asia, the USA, Europe.

Field robots are non-factory robots, usually cellular, that function in complicated and dynamic environments; at the flooring (of earth or planets), below the floor, underwater, within the air or in house. carrier robots are those who paintings heavily with people to assist them with their lives. This ebook current the result of the 9th version of box and repair Robotics, FSR13, held in Brisbane, Australia on 9th-11th December 2013. The convention supplied a discussion board for researchers, execs and robotic manufactures to interchange up to date technical wisdom and event. This publication bargains a suite of a vast diversity of issues together with: Underwater Robots and platforms, Unmanned Aerial automobiles applied sciences and functions, Agriculture, area, seek and Rescue and family Robotics, robot imaginative and prescient, Mapping and Recognition.

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Additional resources for Field and Service Robotics: Results of the 9th International Conference

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Improved vehicle based multibeam bathymetry using sub-maps and SLAM. In: IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), pp. 3662–3669 (2005) 18. : A self-consistent bathymetric mapping algorithm. J. of Field Robotics 24(1), 23–50 (2007) 19. : 3D is here: Point Cloud Library (PCL). In: IEEE Intl. Conf. on Robotics and Automation (ICRA), Shanghai, China (2011) 20. : Towards 3D point cloud based object maps for household environments. J. of Robotics and Autonomous Systems 56(11), 927–941 (2008) 21.

However, bathymetric and profiling sonars generally do not produce easily 20 M. VanMiddlesworth et al. identifiable viewpoint-invariant features. If the vehicle dead reckoning is accurate over short time periods, as is the case with most IMU and DVL based systems, the sonar data can be aggregated into “submaps” for improved matching. The aggregated point cloud data is then treated as a single measurement. Point cloud-based approaches such as [15] and [5], which use iterative closest point (ICP) to align submaps, have been applied to scanning laser data.

3, pp. 601942 6. : TRESSA: Teamed Robots for Exploration and Science on Steep Areas. J. Field Robot. 20219 7. : Spinybotii: climbing hard walls with compliant microspines. In: ICAR 2005, pp. 1507470 8. : Computer Vision on Mars. Int. J. Comput. Vision 75(1), 67–92 (2007) 9. : Lighting-invariant visual teach and repeat using appearance-based lidar. J. Field Robot. 30(2), 254–287 (2013) 10. : Waalbot II: Adhesion Recovery and Improved Performance of a Climbing Robot using Fibrillar Adhesives. Int.

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Field and Service Robotics: Results of the 9th International Conference by Luis Mejias, Peter Corke, Jonathan Roberts


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