A hierarchical approach to probabilistic pursuit-evasion games with unmanned ground and aerial vehicles

Proceedings of the IEEE Conference on Decision and Control

Volumn 1, Issue , 2001, Pages 634-639

  Kim, H Jin ^a   Vidal, René ^a   Shim, David H ^a   Shakernia, Omid ^a   Sastry, Shankar ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; HIERARCHICAL SYSTEMS; PROBABILITY; UNMANNED VEHICLES;

UNMANNED AERIAL VEHICLES (UAV); UNMANNED GROUND VEHICLES (UGV);

GAME THEORY;

EID: 0035710625     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. How to learn an unknown environment I: The rectilinear case
2. Multiple-agent probabilistic pursuit-evasion games
3. Probabilistic pursuit-evasion games: A one-step Nash approach
4. Hybrid control of an autonomous helicopter
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6. Verified hybrid controllers for automated vehicles
7. A next generation architecture for air traffic management systems
8. Hierarchical control system synthesis for rotorcraft-based unmanned aerial vehicles
9. Pursuit-evasion games with unmanned ground and aerial vehicles