Sertac Karaman

Primary tabs

2013
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)
2012
Chaudhari, P., S. S. Karaman, and E. Frazzoli, "Sampling-based Algorithm for Filtering using Markov chain Approximations", CDC-ECE, 2012. PDF icon cdc2012.Chaudhari.Karaman.Frazzoli.accepted.pdf (1000.31 KB)
Karaman, S. S., "Sampling-based Algorithms for Optimal Path Planning Problems", Department of Electrical Engineering and Computer Science, vol. Doctor of Philosophy: Massachusetts Institute of Technology, pp. 152, 2012.
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)
2010
Karaman, S. S., and E. Frazzoli, Optimal kinodynamic motion planning using incremental sampling based methods, , 2010. PDF icon cdc2010.Karaman.Frazzoli.printed.pdf (2.79 MB)
 

Dynamics and Control Systems Lab

at Georgia Institute of Technology

 

The Borg Lab

at Georgia Institute of Technology

 

Robotic Mobility Group

at Massachusetts Institute of Technology

 

Aerospace Robotics and Embedded Systems Laboratory

at Massachusetts Institute of Technology

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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.

Recent Publications

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Acknowledgment

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