By Michael Mistry, Aleš Leonardis, Mark Witkowski, Chris Melhuish
This ebook 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 software covers a variety of points of robotics, together with navigation, making plans, sensing and conception, flying and swarm robots, ethics, humanoid robotics, human-robot interplay, and social robotics.
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Extra resources for Advances in Autonomous Robotics Systems: 15th Annual Conference, TAROS 2014, Birmingham, UK, September 1-3, 2014. Proceedings
Landmark-Tree map: A biologically inspired topological map for long-distance robot navigation. In: 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 128–135 (2012) 19. : Epitomic location recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(12), 2158–2167 (2009) 20. : Place recognition using near and far visual information. In: Proceedings of the 18th IFAC World Congress (2011) 21. : Visual navigation using view-sequenced route representation.
Currently available actuators are mainly electromagnetic and their performance is far from the one achieved, for example, by natural muscles. Nevertheless, in the last few years new and promising technologies are emerging thus offering new possibilities to fill the gap between natural muscles and artificial artefacts. A thorough study could be performed on smart materials and in particular on shape memory alloys, a lightweight alternative to conventional actuators, that responds to the heat from an electric current.
2 Cellular Automata and Robot Path-Planning Approaches Cellular automata are discrete dynamical systems composed by simple components with local interactions. It has a regular lattice of N cells, each one with an identical pattern of local connections to other cells. CA transition rule determines the state of the cell i at time t + 1 depending on the states of its neighborhood at time t including cell i . Formally, let Zd be a d-dimensional lattice and Σ a finite set of states. Lattice configuration is a map c: Zd → Σ, which specifies the states of all lattice cells.
Advances in Autonomous Robotics Systems: 15th Annual Conference, TAROS 2014, Birmingham, UK, September 1-3, 2014. Proceedings by Michael Mistry, Aleš Leonardis, Mark Witkowski, Chris Melhuish