Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This paper presents a new paradigm in the design of indoor flying robots that replaces collision avoidance with collision robustness. Indoor flying robots must operate within constrained and cluttered environments where even nature’s most sophisticated flyers such as insects cannot avoid all obsta- cles and should thus be able to withstand collisions and recover from them autonomously. A prototype platform specifically designed to withstand collisions and recover without human intervention is presented. An optimization algorithm used for its dimensioning is proposed followed by new construction techniques focusing on shock absorption. Finally, the platform is tested both in-flight and during collisions to characterize its collision robustness and self- recovery capability.
Philippe Schwaller, Jeff Guo, Bojana Rankovic
Michel Bierlaire, Nicola Marco Ortelli, Matthieu Marie Cochon de Lapparent
Herbert Shea, Bekir Aksoy, Emil Yan Garnell