Optimizations for sampling-based motion planning algorithms

Bialkowski, J., Optimizations for sampling-based motion planning algorithms, : Massachusetts Institute of Technology, 2014.

Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation

On Minimum-time Paths of Bounded Curvature with Position-dependent Constraints

Sanfelice, R. G., S Z. Yong, and E. Frazzoli, "On Minimum-time Paths of Bounded Curvature with Position-dependent Constraints", Automatica, vol. 50, pp. 537–546, 2014.

Real-Time Near-Optimal Feedback Control of Aggressive Vehicle Maneuvers

Tsiotras, P., and RS. Diaz, "Real-Time Near-Optimal Feedback Control of Aggressive Vehicle Maneuvers", Optimization and Optimal Control in Automotive Systems, vol. 455: Springer International Publishing, pp. 109-129, 2014.

Constraint-based planning and control for safe, semi-autonomous operation of vehicles

Anderson, S.. J., "Constraint-based planning and control for safe, semi-autonomous operation of vehicles", Intelligent Vehicles Symposium (IV), 2012 IEEE, June, 2012.

Credible autocoding of fault detection observers

Wang, T., A. E. Ashari, R. J. Jobredeaux, and E. M. Feron, "Credible autocoding of fault detection observers", American Control Conference (ACC), 2014, June, 2014.

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Dynamics and Control Systems Lab

 

Robotic Mobility Group

 

Aerospace Robotics and Embedded Systems Laboratory

About us

We are three research groups from Georgia Tech, the Massachusetts Institute of Technology, and the University of Southern California, collaborating to perform basic research on high-speed autonomous driving.  We are most interested in researching biologically-inspired methods in the realms of both perception and control.

Acknowledgment

This work was supported by the Army Research Office under MURI Award W911NF-11-1-0046.