Leveraging prior work and expertise of two PIs
(Dr. Xiao in robotics and control , Dr. Zhu in computer vision ), we
propose to develop a modular, reconfigurable, wall-climbing robotic
system and to investigate intelligent control methods and vision
algorithms to control and coordinate a team of such robots to perform
various defense, security, and inspection missions. First, the modeling
of individual wall-climber module, as well as the cooperative
relationship of a group of such robots will be developed. Second,
intelligent control methods will be designed to effectively coordinate
the robot team to achieve a common goal (e.g., self-deployment, dynamic
view planning, and object tracking, etc.) in a fault tolerant fashion.
Third, based on our previous research in computer vision, new vision
algorithms for scene understanding, object tracking and localization
will be developed by taking advantage the climbing feature of multiple
wall-climbers in 3-D environments. Related
Publications
J. Xiao, A. Calle, J. Ye and Z. Zhu, A Mobile Robot
Platform with DSP-based Controller and Omnidirectional Vision System,
IEEE Int. Conf. on Robotics and Biomimetics, Aug 22-26, 2004,
Shengyang, China.
Collaborators:
Professor Jizhong Xiao, Department
of electrical Engineering, The City College of
New York
Students:
Yi Feng, Department
of Computer Science, The CUNY Graduate Center
Related Grants
DoD
Army Research Office (Award
number: W911NF-05-1-0011), Cooperative Wall-climbing Robots in 3-D
Environment
for Surveillance and Target Tracking. PI- J. Xiao, Co-PI, Z. Zhu),
11/01/04-10/31/07