Introduction of Multi Agent Multi Target Interception Multi Agent Multi Target Interception
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This movie presents a real-world implementation of the S-NF for a We issue the problem of cooperative control of a swarm of autonomous mobile robots that are required to This video demonstrates the stopping phase of a coordinated This video illustrates the stopping behavior of a cooperative pair of deep reinforcement learning (RL) interceptor Presentation presented at ICRA2021 Abstract: The problem of safe This is an example of how dynamic pathfinding works in first person games. You can see
Affine Formation Control of General Linear Multi-agent Systems This video demonstrates the behavior of a single deep reinforcement learning (RL) interceptor In response to a group of hostile multicopters from the air, how should our swarm effectively
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multi agent multi target Probabilistic Navigation Function
Two RL Agents Interceptors – Traffic Density 0.10 (Stopping Phase Only)
Two RL Agents Interceptors – Traffic Density 0.20 (Stopping Phase Only)
Two RL Agents Interceptors – Traffic Density 0.05 (Stopping Phase Only)
KDC Project: Multi-Target Tracking with Multiple Agents and Dynamic Obstacles
Two RL Agents Interceptors – Traffic Density 0.25 (Stopping Phase Only)
[Presentation] A Multi UAV System for Detection and Elimination of Multiple Targets
Two RL Agents Interceptors – Traffic Density 0.15 (Stopping Phase Only)
Path planning based on dynamic window (DWA) for multi-agent and multi-target points
Two RL Agents Interceptors – Traffic Density 0.40 (Stopping Phase Only)
Dynamic multi-target pathfinding for first-person games
Affine Formation Control of General Linear Multi-agent Systems
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Last Updated: June 15, 2026
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