Direct Superpixel Labeling for Mobile Robot Navigation Using Learned General Optical Flow Templates

Roberts, R., and F. Dellaert, "Direct Superpixel Labeling for Mobile Robot Navigation Using Learned General Optical Flow Templates", Intelligent Robots and Systems (IROS), 2014 IEEE/RSJ International Conference on, 2014.

Situation awareness via sensor-equipped eyeglasses

Windau, J., and L. Itti, "Situation awareness via sensor-equipped eyeglasses", Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on, Nov, 2013.

Monocular Parallel Tracking and Mapping with Odometry Fusion for MAV Navigation in Feature-lacking Environments

Ta, D-N., K. Ok, and F. Dellaert, "Monocular Parallel Tracking and Mapping with Odometry Fusion for MAV Navigation in Feature-lacking Environments", IEEE/RSJ IROS’13 International Workshop on Vision-based Closed-Loop Control and Navigation of Micro Helicopters in GPS-denied Environments, Tokyo, Japan, 11/2013.

Finding planes in LiDAR point clouds for real-time registration

Grant, W. S., R. C. Voorhies, and L. Itti, "Finding planes in LiDAR point clouds for real-time registration", Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on, Nov, 2013.

Beobot 2.0: Autonomous Mobile Robot Localization and Navigation in Outdoor Pedestrian Environment

Chang, C. K., C. C. Siagian, and L. Itti, "Beobot 2.0: Autonomous Mobile Robot Localization and Navigation in Outdoor Pedestrian Environment", Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Video Track, Nov, 2013.

Free-configuration Biased Sampling for Motion Planning

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.

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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.