Optimal motion planning with the half-car dynamical model for autonomous high-speed driving

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.

Sampling-based algorithms for continuous-time POMDPs

Chaudhari, P., S. S. Karaman, D. Hsu, and E. Frazzoli, "Sampling-based algorithms for continuous-time POMDPs", American Control Conference (ACC), 2013, June, 2013.

Time-optimal vehicle posture control to mitigate unavoidable collisions using conventional control inputs

Chakraborty, I., P. Tsiotras, and R. Sanz Diaz, "Time-optimal vehicle posture control to mitigate unavoidable collisions using conventional control inputs", American Control Conference (ACC), 2013, June, 2013.

Video Segmentation by Tracking Many Figure-Ground Segments

Li, F., T. Kim, A. Humayun, D. Tsai, and J. J. M. Rehg, "Video Segmentation by Tracking Many Figure-Ground Segments", IEEE International Conference on Computer Vision, 2013.

ICRA 2013 papers accepted

  1. The paper "Use of Relaxation Methods in Sampling-Based Algorithms for Optimal Motion Planning,'' by O. Arslan, and P. Tsiotras, has been accepted for presentation at the IEEE International Conference on Robotics and Automation, in Karlsruhe, Germany, May 6-10, 2013.
  2. The paper "Mobility Erosion: High Speed Motion Safety for Mobile Robots Operating in Off-Road Terrain" by S. Karumanchi, K. Iagnemma and S. Scheding, has been accepted for presentation at the IEEE International Conference on Robotics and Automation, in Karlsruhe, Germany, May 6-10, 2013.

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Annual MURI Mini-Symposium

The annual mini-symposium this year will take place on Wednesday February 6th in Room 317 of the Montgomery Knight Bldg at Georgia Tech.

The address is: 270 Ferst Drive, NW
                        Atlanta, GA 30332-0150
                        [ Google map ]

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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.