Semi-Autonomous Cooperative Control
Program Description
The objective of this program is to develop, both theoretically
and experimentally, an architecture for realistic semi-autonomous
systems composed of human operators and different mobile
vehicles using a variable initiative goal setting that achieves
a core objective: N vehicles >> M operators. There
are four primary elements of to this architecture: Human
Interface: Developing the human interface requirements,
and scaling insights, for M=1 and M>1 operators using
cognitive engineering, Variable Initiative Control: Developing
variable initiative control strategies with humans in the
loop (M=1 and M>1), including novel concepts such as
operator “shape” control of the team and football
“Playbook” analogies. These are supported by
technologies from leveraged programs and those developed
here, such as a “World State” (“centralized
knowledge, decentralized execution.”) concept in an
uncertain environment, Experimental Validation using RoboFlag:
evaluating algorithms and concepts in an experimental competition
called RoboFlag, and Technology Transition: Transitioning
the technology to MICA partners as well as the outside community,
especially government users such as the US Air Force.
The Cornell led team has focused on a variety of technoloqies
for this program, including streamline path planning and
extensions, cooperative reconnaissance, the RoboFlag system
for adoption within community, Roboflag human in the loop
studies, and team tasking.
Sponsors
DARPA MICA, AFRL
Staff and Students
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David Schneider |
ME Ph.D. Student
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Teaming Approaches for Multiple Vehicle
Coordination and Control |
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Jeff Sullivan |
ME Ph.D. Student
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Evolutionary based Teaming Approaches
for Multiple Vehicle Coordination and Control |
Publications
- D. Schneider, M. Campbell, “Real Time Optimal
Task Allocation in Highly Dynamic Environments,”
submitted to the ASME Journal of Dynamic Systems, Measurement
and Control.
- D. Schneider, M. Campbell, “Real Time Optimal
Task Allocation in Highly Dynamic Environments,”
ASME International Mechanical Engineering Congress and
Exposition, Nov 2005.
- M. Campbell, R. D’Andrea, J.-W. Lee, and E. Scholte,
“Experimental Demonstrations of Semi-Autonomous
Control,” 2004 American Control Conference, June
2004.
- Veverka, J. and Campbell, M., “Experimental Study
of Information Load on Operators in Semi-Autonomous Systems,”
2003 AIAA Guidance, Navigation and Control Conference,
Austin TX, Aug. 2003.
- J. Sullivan, S. Waydo, and Campbell, M., “Using
Stream Functions to Generate Complex Behavior,”
2003 AIAA Guidance, Navigation and Control Conference,
Austin TX, Aug. 2003.
- A. I. Chaudhry, R. D’Andrea, and M. Campbell,
“RoboFlag – A Framework for Exploring Control,
Planning, and Human Interface Issues Related to Coordinating
Multiple Robots in a Realtime Dynamic Environment,”
11th International Conference on Advanced Robotic, Portugal,
June 2003.
- Campbell, M., D’Andrea, R., Schneider, D., Chaudhry,
A., Waydo, S., Sullivan, J., Veverka, J., Klochko, A.,
“RoboFlag Games using Systems Based, Hierarchical
Control,” American Control Conference, June 2003.
- Campbell, M., D’Andrea, R., Schneider, D., Chaudhry,
A., Waydo, S., Sullivan, J., Veverka, J., Klochko, A.,
“RoboFlag Games using Systems Based, Hierarchical
Control,” American Control Conference, June 2003.
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