A Game-Theoretic MPC Planner for Cooperative and Adversarial Drone Coordination
Overview
This paper introduces and evaluates a game-theoretic model predictive control (MPC) planner designed for cooperative goal reaching and adversarial pursuit-evasion tasks using drones.
Generated from attributed reports · Updated 6 hours ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Environment: simulation
“nfigurations. PyBullet simulations demonstrate cooperative goal reaching and pursuit-evasion. A laboratory flight complements the simulations by validating the trajectory-tracking interfaces on physical drones. The planner can serve as a basis for further evaluation and controller development.”
Exact source · revision 1Source owner not reported
Report timeline
Follow attributed reports and material updates.
- arXiv Robotics — research abstractsSignalA Game-Theoretic MPC Planner for Cooperative and Adversarial Drone Coordination
This paper introduces and evaluates a game-theoretic model predictive control (MPC) planner designed for cooperative goal reaching and adversarial pursuit-evasion tasks using drones.
Event coverage history
There is not enough continuous observation data to show a trend.
Timezone · UTC
Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).