Conception of a Reliable, Low Cost and Autonomous Explorative Hovercraft
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32794
Conception of a Reliable, Low Cost and Autonomous Explorative Hovercraft

Authors: S. Burgalat, L. Teilhac, A. Brand, E. Chastel, M. Jumeline

Abstract:

The paper presents actual benefits and drawbacks of a multidirectional autonomous hovercraft conceived with limited resources and designed for indoor exploration. Recent developments in the field have led to the apparition of very powerful automotive systems capable of very high calculation and exploration in complex unknown environments. They usually propose very complex algorithms, high precision/cost sensors and sometimes have heavy calculation consumption with complex data fusion. These systems are usually powerful but have a certain price, and the benefits may not be worth the cost, especially considering their hardware limitations and their power consumption. The present approach is to build a compromise between cost, power consumption and results preciseness.

Keywords: Hovercraft, Indoor Exploration, Autonomous, Multidirectional, Wireless Control.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1093454

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2165

References:


[1] Guowei C., Jorge D., Lakmal S., 2014. "A Survey of Small-Scale Unmanned Aerial Vehicles: Recent Advances and Future Development Trends". Unmanned Systems, Vol.2, pp.175-199.
[2] Jiinec T. 2011. "Stabilization and Control of Unmanned Quadcopter", Master's Thesis, Lulea University of Technology
[3] Saha S., Angeles J, Darkovich J., 1995. "The Design of Kinematically Isotropic Rolling Robots with Omni-directional Wheels". Mechanism and Machine Theory,Vol.30, pp.1127-1137.
[4] F.L. Roubieu, J.Serres, N. Franceschini, et al.: "A Fully-autonomous Hovercraft Inspired by Bees: Wall Following and Speed Control in Straight and Tapered Corridors". IEEE International Conference on Robotics and Biomimetics (ROBIO 2012), Guangzhou: China (2012)
[5] Wolf D., Sukhatme G., 2005. "Mobile Robot Simultaneous Localization and Mapping in Dynamic Environments". Autonomous Robots, Vol.19, pp.53 – 65
[6] Montemerlo M., Thrun S., Koller D., et al, 2003. "FastSLAM: A Factored solution to the Simultaneous Localization and Mapping Problem", Proceeding IJCAI’03 Proceedings of the 18thinternational joint conference on Artificial Intelligence, pp.593-598.5.
[7] Montemerlo M., Thrun S., Koller D., et al, 2003. "FastSLAM 2.0: An improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges", Proceeding IJCAI’03 Proceedings of the 18Th international joint conference on Artificial Intelligence, pp.1151-115
[8] A. Baba, "Cartographie de l’Environnement et Suivi Simultané de Cibles Dynamiques par Un Robot Mobile". PhD Thesis, LAAS-CNR, Univ. Toulouse III – P. Sabatier.