Contemporary Robotics - Challenges and Solutions

The field of autonomous robots, a widely recognized test-bed, has recently benefited from salient contributions in robot planning using the results of algorithmic geometry as well as of a stochastic framework approach applied both to environmental modeling and robot localization problems (SLAM, simultaneous localization and maping), and further from the development of decisional procedures via Bayesian estimation and decision approaches.For the last decade of the millennium, robotics largely dealt with the intelligent robot paradigm,blending together robots and machine-intelligence generic research within themes covering advanced sensing and perception, task reasoning and planning, operational and decisional autonomy, functional integration architectures, intelligent human–machine interfaces, safety,and dependability. The evolution levels for robotics stress the role of theoretical aspects, moving from application domains to the technical and scientific area. The organization of this thematic book illustrates these different levels. The edited book is a collection of 18 chapters written by internationally recognized experts and well-known professionals of the field. Chapters contribute to diverse facets of contemporary robotics and autonomous systems. The volume is organized in four thematic parts according to the main subjects, regarding the recent advances in the contemporary robotics.