By Michael Mistry, Aleš Leonardis, Mark Witkowski, Chris Melhuish
This ebook constitutes the refereed court cases of the fifteenth convention on Advances in self sustaining Robotics, TAROS 2014, held in Birmingham, united kingdom, in September 2014. The 23 revised complete papers awarded including nine prolonged abstracts have been rigorously reviewed and chosen from forty eight submissions. the final application covers numerous points of robotics, together with navigation, making plans, sensing and notion, 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
To achieve this goal, the paper starts with an in-depth review on real bats, studying and proposing models derived from the analysis of the aerodynamics of bat wings combined together with the investigation of the bat echolocation system. These models will form the basis for the implementation of the conceptual design of the proposed robotic platform, consisting of a new complete bat body, light and smart body structures, provided with a set of sensors and actuated joints, displaying echolocation, sensing and coordination capabilities.
6. Formation control rules Fig. 7. S. A. B. Oliveira A New Path-Planning Model Due to the corner deadlock observed in the experiments performed with the adapted model, we carried out some modifications to propose a new path-planning algorithm. This new model preserves the major characteristics of the adapted model: (a) it is based on local transition rules of CA to decide the next robot step at each time step; (b) there are two types of CA rules being that the first type is used when the robot must avoid an obstacle in its neighborhood and the second type is used to keep the robot navigating on its crossing axis.
D. c shows a scenario where the robot was moving to the north and its sensors identi∘ fies obstacles in 3 cells (a1, a7 and a8). In such case, the robot must rotate to 90 aiming to avoid the obstacle. d shows a scenario where the robot was moving to the west indicating that it identified an obstacle in some previous steps and it was forced to rotate. However, at the current time step, the only identified obstacle is on cell a , which enables the robot to rotate and to return to its original orientation (to 2 the north).