Multi-Agent Path Execution with Uncertainty
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Technology Overview
This technology develops methods for robust and effective execution of multi-agent path plans under unexpected delays, with applications in autonomous vehicles, robotics, and logistics.
CATEGORY
TECHNOLOGY READINESS LEVEL (TRL)
Path Optimisation and Prioritisation
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Optimised Task Allocation:
Assigns AGV jobs based on urgency and battery levels, boosting throughput in container yards and terminals.
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Smart Battery Management:
Coordinates recharge cycles to minimise downtime and sustain operations during peak periods.
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Dynamic Path Planning:
A*-based routing reduces congestion and transit time in complex port layouts.
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Adaptive to Operational Variability:
Handles shifting logistics demands and uncertainties in automated port environments.
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Scalable Fleet Coordination:
Improves robustness and efficiency as AGV deployments expand.
Maritime Use Cases

The multi-agent path planning and execution technology could be applied to coordinate the movements and operations of fleets of autonomous maritime vehicles, such as USVs, AUVs, and ROVs, improving their efficiency, safety, and overall mission performance.

The coordinated path planning and collision avoidance algorithms could enable these autonomous maritime systems to work together effectively, optimizing their routes, resource utilization, and task completion in complex maritime environments.

The technology could support applications like autonomous cargo handling, fleet-based environmental monitoring, or collaborative search and rescue operations, where the coordinated efforts of multiple maritime vehicles are required.
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