Amit Roy ChowdhuryProfessor & Chair of Robotics, Bourns Family Faculty FellowElectrical & Computer Eng Dept amitrc@ucr.edu(951) 827-7886
NRI: Small: Multirobot-Human Coordination for Visual Scene Understanding
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AWARD NUMBER
006401-004
FUND NUMBER
21185
STATUS
Closed
AWARD TYPE
3-Grant
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AWARD EXECUTION DATE
5/14/2015
BEGIN DATE
9/1/2013
END DATE
8/31/2016
AWARD AMOUNT
$50,000
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Sponsor Information
SPONSOR AWARD NUMBER
SPONSOR
SPONSOR TYPE
FUNCTION
Organized Research
PROGRAM NAME
Proposal Information
PROPOSAL NUMBER
15060688
PROPOSAL TYPE
Supplement
ACTIVITY TYPE
Basic Research
PI Information
PI
Roy Chowdhury, Amit K
PI TITLE
Other
PI DEPTARTMENT
Electrical & Computer Eng
PI COLLEGE/SCHOOL
Bourns College of Engineering
CO PIs
Mourikis, Anastasios; Farrell, Jay;
Project Information
ABSTRACT
The objective of this research is to enable the development of teams of robots, equipped with vision and other sensors, capable of working alongside humans in critical missions, such as search and rescue. Key requirements are situational awareness and coordinated action. The approach is to develop mathematical frameworks and algorithms to enable such a team of robots to coordinate their paths, share and analyze their sensor data, maintain communications, and interact effectively and safely with humans. The project brings together experts in computer vision, robotics, estimation theory and controls.
Intellectual Merit. Realizing the above goals will require advances in several inter-related domains. Specifically, the sensing, estimation, and trajectory control tasks must seamlessly integrate visual analysis with navigation and control strategies, as well as inputs from humans. Novel distributed estimation strategies must be developed to accommodate difficult and dynamic environments. Efficient human-robot coordination necessitates methodologies for joint exploration and mapping, identifying important visual information, and robots? operation at different levels of autonomy.
Broader Impact. The success of this project will be a major step towards the deployment of teams of robots to assist humans in dangerous and complex tasks like disaster response. Search-and-rescue experts will advise the team in developing a prototype system, and evaluating it in situations that mimic operational conditions. The developed software tools will be disseminated to other researchers so they can build on the results. Undergraduates from UCR's highly diverse student population will gain valuable experience working alongside graduate student researchers.(Abstract from NSF)
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