Yang Gao Knihy

This book constitutes the refereed proceedings of the 18th Annual Conference on Towards Autonomous Robotics, TAROS 2017, held in Guildford, UK, in July 2017. The 43 revised full papers presented together with 13 short papers were carefully reviewed and selected from 66 submissions. The papers discuss robotics research drawn from a wide and diverse range of topics, such as swarm and multi-robotic systems; human-robot interaction; robotic learning and imitation; robot navigation, planning and safety; humanoid and bio-inspired robots; mobile robots and vehicles; robot testing and design; detection and recognition; learning and adaptive behaviours; interaction; soft and reconfigurable robots; and service and industrial robots.

For readers from both academia and industry wishing to pursue their studies and/or careers in planetary robotics, this book represents a one-stop tour of the history, evolution, key systems, and technologies of this emerging field. The book provides a comprehensive introduction to the key techniques and technologies that help to achieve autonomous space systems for cost-eff ective, high performing planetary robotic missions. Main topics covered include robotic vision, surface navigation, manipulation, mission operations and autonomy, being explained in both theoretical principles and practical use cases. The book recognizes the importance of system design hence discusses practices and tools that help take mission concepts to baseline design solutions, making it a practical piece of scientifi c reference suited to a variety of practitioners in planetary robotics.

This dissertation discusses the construction of multivariate maximum entropy density using various entropy measures such as Tsallis’ entropy and Kapur’s entropy. By imposing certain restrictions on the maximization, the new models are able to capture multivariate distributional stylized facts often found in bivariate financial return series, including asymmetry, fat-tails and correlation. The concepts and properties of the new class of models are introduced in comparison with the conventional parametric distributions. The algorithm yielding the density and some empirical studies are also given in the thesis.