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Submitted by Emmanuel Boidot on Fri, 12/28/2012 - 06:55

Solving Shortest Path Problems with Curvature Constraints using Beamlets

Arslan, O., P. Tsiotras, and X. Huo, "Solving Shortest Path Problems with Curvature Constraints using Beamlets", IROS, 2011.
PDF icon iros2011.Arsan_.Tsiotras.printed.pdf
Submitted by Emmanuel Boidot on Fri, 12/28/2012 - 06:48

Steady-State Cornering Equilibria and Stabilization for a Vehicle During Extreme Operating Conditions.

Velenis, E., E. Frazzoli, and P. Tsiotras, "Steady-State Cornering Equilibria and Stabilization for a Vehicle During Extreme Operating Conditions.", Int. Journal of Vehicle Autonomous Systems, 2010.
PDF icon ijvas2010.Velenis.Frazzoli.Tsiotras.printed.pdf
Submitted by Emmanuel Boidot on Fri, 12/28/2012 - 06:31

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

Anderson, S.. J., S. B. Karumanchi, and K. Iagnemma, "Constraint-based planning and control for safe, semi-autonomous operation of vehicles.", Intelligent Vehicles Symposium: IEEE, 2012.
PDF icon ieeeiv2012.Anderson.Karumanchi.Iagnemma.printed.pdf
Submitted by Emmanuel Boidot on Fri, 12/28/2012 - 06:21

Sampling-based Optimal Motion Planning for Non-holonomic Dynamical Systems

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
Submitted by Emmanuel Boidot on Thu, 12/27/2012 - 14:01

Use of Relaxation Methods in Sampling-Based Algorithms for Optimal Motion Planning

Arslan, O., and P. Tsiotras, "Use of Relaxation Methods in Sampling-Based Algorithms for Optimal Motion Planning", ICRA 2013, 2013.
PDF icon icra2013.Arslan.Tsiotras.submitted.pdf
Submitted by Emmanuel Boidot on Thu, 12/27/2012 - 13:39

Hierarchical Motion Planning with Kinodynamic Feasibility Guarantees: Local trajectory Planning via Model Predictive Control

Cowlagi, R. V., and P. Tsiotras, "Hierarchical Motion Planning with Kinodynamic Feasibility Guarantees: Local trajectory Planning via Model Predictive Control", ICRA, 2012.
PDF icon icra2012.Cowlagi.Tsiotras.printed.pdf

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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.

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Acknowledgment

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