Aerial Vehicles (2009) by Thanh Mung Lam (Editor)

By Thanh Mung Lam (Editor)

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This permanent exchange between simulation (from the high level models) and experimental tests (from the robot) is appealing because it permits quick implementation of any new visuo-motor control systems onto a physical demonstrator, in addition to easy monitoring, and validation and tuning procedures. In this approach, the robot’s behavior may be limited by the wire umbilical, however, unless a wireless link is established between the robot and the real-time board. 5 gram Field Programmable Gate Array (FPGA).

2000). Visually realistic mapping of a planar environment with stereo. In Seventh International Symposium on Experimental Robotics, Waikiki. ; Wittich, H. & Thielecke, F. (2006). A vision-based navigation algorithm for a VTOL UAV. In AIAA Guidance, Navigation and Control Conference and Exhibit, paper 6546, Keystone. Konolige, K. (1997). Improved occupancy grids for map building. Autonomous Robots, Vol. 4, pp. 351-367. ISSN 0929-5593. 28 Aerial Vehicles Kuipers, B. J. (2000). The spatial semantic hierarchy.

State machines impose a strict order and timing for operations making them similar to programs for CPUs. However, HDL descriptions are difficult to design in the case of complex systems using digital signal processing functions or control applications. Indeed, the high level mathematical modelling tools are often used to validate a system model and to make a floating or fixed point model. Developments in the simulation capabilities of high-level Field Programmable Gate Array (FPGA) for Bio-inspired visuo-motor control systems applied to Micro-Air Vehicles 33 mathematical modeling tools have opened new design flow possibilities.

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