Multi-modal orchestration system for human-animal-robot collaborative task execution
AssigneeQomplx LLC
InventorsJason Crabtree, Richard Kelley, Jason Hopper, David Park
Life of this patent
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AssigneeQomplx LLC
InventorsJason Crabtree, Richard Kelley, Jason Hopper, David Park
Estimating the term…
Disclosed embodiments provide a multi-modal orchestration system that enables coordinated adaptive, context-aware task execution between humans, animals, and robotic agents by leveraging advanced neurosymbolic AI, multi-modal sensor fusion, and reinforcement learning techniques. The system integrates SLAM-based environmental mapping, point cloud processing, and dynamic sensor networks to maintain real-time awareness of all agent positions, movement patterns, and behavior states. The system can utilize learned patterns of leadership and followership (derived from natural systems like octopus-fish hunting groups) to optimize collaborative behaviors, while continuously adapting to changing environmental conditions through a sensor fusion pipeline.
A system for AI-enabled multispecies coordinated task execution, comprising:
A computer-implemented method for AI-enabled multispecies coordinated task execution, comprising the steps of:
A non-transitory, computer-readable medium comprising programming instructions for an electronic computation device executable by a processor to cause the electronic computation device to:
Dependencies are inferred from the claim text.