Saliency Detection and Model-based Tracking: a Two Part Vision System for Small Robot Navigation in Forested Environment

Roberts, R., D-N. Ta, J. Straub, and F. Dellaert, "Saliency Detection and Model-based Tracking: a Two Part Vision System for Small Robot Navigation in Forested Environment", Unmanned Systems Technology XIV - SPIE Defense, Security and Sensing, 2012.

Constraint-based semi-autonomy for unmanned ground vehicles using local sensing

Anderson, S.. J., S. B. Karumanchi, B. Johnson, V. Perlin, M. Rohde, and K. Iagnemma, Constraint-based semi-autonomy for unmanned ground vehicles using local sensing, , pp. 83870K-83870K-8, 2012.

Where to look next? Modeling Top-down Visual Attention in Complex Interactive Environments

Borji, A., D. N. Sihite, and L. Itti, "Where to look next? Modeling Top-down Visual Attention in Complex Interactive Environments", IEEE Transactions on Systems, Man, and Cybernetics, Part A, vol. 44, issue 5, pp. 15, 05/2014, 2013.

Multiresolution Motion Planning for Autonomous Agents via Wavelet-Based Cell Decompositions

Cowlagi, R. V., and P. Tsiotras, "Multiresolution Motion Planning for Autonomous Agents via Wavelet-Based Cell Decompositions", IEEE Transactions on Systems, Man, and Cybernetics, Part B, vol. 42, pp. 1455-1469, 2012.

Optimal Planning and Control for Hazard Avoidance of Front-Wheel Steered Ground Vehicles

Peters, S. S. C., "Optimal Planning and Control for Hazard Avoidance of Front-Wheel Steered Ground Vehicles", Department of Mechanical Engineering, vol. Doctor of Philosophy: Massachusetts Institute of Technology, pp. 137, 2012.

Computational models: Bottom-up and top-down aspects

Itti, L., and A. Borji, "Computational models: Bottom-up and top-down aspects", The Oxford Handbook of Attention, pp. 1-20, 2013.

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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.