Emilio Frazzoli

2014
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. PDF icon auto13.Sanfelice.Yong_.Frazzoli.final_.pdf (513.46 KB)
2013
Bialkowski, J., M. W. Otte, and E. Frazzoli, "Free-configuration Biased Sampling for Motion Planning", IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2013. PDF icon iros2013.Bialkowski.Otte_.Frazzoli.final_.pdf (830.43 KB)
Jeon, J H., R. V. Cowlagi, S. S. C. Peters, S. S. Karaman, E. Frazzoli, P. Tsiotras, and K. Iagnemma, "Optimal motion planning with the half-car dynamical model for autonomous high-speed driving", American Control Conference (ACC), 2013, June, 2013. PDF icon acc2013.Jeon_.Cowlagi.ea_.final_.pdf (613.48 KB)
Chaudhari, P., S. S. Karaman, D. Hsu, and E. Frazzoli, "Sampling-based algorithms for continuous-time POMDPs", American Control Conference (ACC), 2013, June, 2013. PDF icon acc2013.Chaudhari.Karaman.Hsu_.Frazzoli.printed.pdf (1.5 MB)
Karaman, S. S., and E. Frazzoli, "Sampling-based Optimal Motion Planning for Non-holonomic Dynamical Systems", ICRA, 2013. PDF icon icra2013.Karaman.Frazzoli.submitted.pdf (563.38 KB)
2011
Jeon, J H., S. S. Karaman, and E. Frazzoli, "Anytime computation of time-optimal off-road vehicle maneuvers using the RRT", CDC-ECE, 2011. PDF icon cdc2011.Jeon_.Karaman.Frazzoli.printed.pdf (826.45 KB)
Perez, G., S. S. Karaman, Walter, Shkolnik, E. Frazzoli, and Teller, "Asymptotically-optimal Path Planning for Manipulation using Incremental Sampling-based Algorithms", Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2011. PDF icon iros2011.Perez_.Karaman.ea_.final_.pdf (2.59 MB)
Bialkowski, J., S. S. Karaman, and E. Frazzoli, "Massively Parallelizing the RRT and the RRT*", IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2011. PDF icon iros2011.Bialkowski.Karaman.Frazzoli.final_.pdf (501.95 KB)
 

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.