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Design and testing of novel adaptive control systems for UAVs
The Advanced Control Systems Lab at Virginia Tech is seeking enthusiastic graduate students (M.S. and Ph.D. level) interested in a research experience in the United States. Research projects involve the design and testing of novel adaptive control systems. Numerical simulations will be performed in a high-fidelity simulation environment for UAVs, and experiments will be performed on multi-rotor UAVs using an open-source flight stack. The ideal candidate is interested in nonlinear control systems and numerical optimization methods, such as genetic algorithms, and has good competence in C++ or Python. For additional details, contact Prof. F. Braghin or Prof. A.… Read more
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Adaptive Collision Avoidance in Mixed-Traffic Autonomous Driving via Hamilton-Jacobi Reachability and Learning-Based Techniques
Introduction When it comes to the safety of autonomous vehicles (AV), developing algorithms that balance conservatism and performance is the key to achieve methods that allow Avs to be integrated with human driven ones.One of the most promising techniques is the Hamilton-Jacobi (HJ) backward reachability analysis (based on dynamic programming and differential games), which allows to obtain a measure of the states of a dynamic system from which it is possible to reach an unsafe state (e.g. a collision). However, this method is based on strong conservatism due to the a priori estimation of the danger posed by an external… Read more