Distributed Robotic Teams. Nikos Papanikolopoulos Professor, Department of Computer Science and Engineering Digital Technology Center University of Minnesota [email protected] AI, Robotics, and Computer Vision Laboratory, CSE, UMN . Faculty
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Maria Gini (Artificial Intelligence, Robotics, Intelligent Agents)
Nikos Papanikolopoulos (Robotics, Computer Vision, Transportation Systems)
Stergios Roumeliotis (Robotics, Robot Localization and Mapping)
Rich Voyles (Robotics, Computer Vision, Multi- Agents)
Paul Schrater (Computer Vision, Pattern Recognition, Haptic Interfaces)
The goal of the laboratory is to combine algorithm development with strong system building efforts that validate our algorithms. With respect to teaching, the goal is to educate top researchers/teachers and use AI, robotics, and computer vision as the vehicle to promote science/engineering principles to our students.
Heterogeneous robotic team
General purpose off-road robots
Custom portable sensor platforms
Variable-size actuated scout wheels
Rooftop scout with grappling hook
COTSScout and MegaScout
Scout with the Pan-Tilt Camera System
A computer vision algorithm was written to detect motion in the field of view and automatically track the center of motion.
Scouts, Rangers, Radios,
Palm Pilot/Wristwatch TV’s
Scheduling, System Configuration,
Starting/Stopping Components, Load Balancing,
The scout rotates 360 deg
and blends the individual images in order to
create mosaics of urban spaces.
*High risk issues
This material is based upon work supported by National Science Foundation through grant #EIA-0224363, Microsoft Inc., INEEL, and the Defense Advanced Research Projects Agency, MTO (“Distributed Robotics” Program), ARPA Order No. G155, Program Code No. 8H20, issued by DARPA/CMD under Contract #MDA972-98-C-0008
Videoclips and papers can be found at: