- WAVE 5 // DEVELOPMENT
- FLEET COORDINATION
- STEM MEMORY
AGORA
MULTI-ROBOT COORDINATION
RoboOS-NeXT brain-cerebellum architecture for multi-robot fleet coordination. Unified STEM (Spatio-Temporal-Embodiment) memory enables persistent knowledge sharing across heterogeneous platforms. Dynamic fleet scaling with fault-tolerant coordination primitives.
MODULE STATUS: DEVELOPMENTATLAS STACK + SYNTHESIS
95%+
- DIVISION
- ANIMA
- WAVE
- W5
- DOMAIN
- SIMULATION
- WAVE 5 // ANIMA SUITE
- FLEET — MULTI-ROBOT COORDINATION
ISOLATED ROBOTS CANNOT COORDINATE
Current multi-robot systems treat each agent as an island — separate memory, separate perception, separate planning. When one robot learns to navigate a warehouse aisle, that knowledge dies with its session. Scaling means duplicating entire stacks, not sharing intelligence.
Fault tolerance is an afterthought. When a robot drops out, its tasks are lost, not redistributed. Heterogeneous fleets — mobile bases, arms, drones — cannot share spatial understanding across different embodiments. AGORA unifies fleet intelligence through shared memory.
WHAT AGORA DELIVERS
AGORA implements a brain-cerebellum coordination architecture where a central STEM memory hub provides persistent spatial-temporal-embodiment context, while individual robots execute through local cerebellum controllers with fault-tolerant task redistribution.
PIPELINE
- 01STEM Memory initialization — unified Spatio-Temporal-Embodiment memory graph constructed from fleet perception data
- 02Task decomposition — complex objectives broken into coordinated sub-tasks with dependency graphs
- 03Dynamic assignment — tasks distributed to best-fit agents based on capability, proximity, and load
- 04Fault recovery — dropped agents trigger automatic task redistribution with state handoff
CAPABILITIES
- STEM MEMORYShared Spatio-Temporal-Embodiment memory across all fleet members→ Persistent knowledge sharing — what one robot learns, all robots know
- DYNAMIC SCALINGAdd or remove robots from the fleet without downtime or reconfiguration→ Fleet grows and shrinks based on demand without coordination overhead
- FAULT TOLERANCEAutomatic task redistribution when agents fail or disconnect→ No single point of failure — fleet degrades gracefully under partial failure
- HETEROGENEOUS FLEETCoordinate across different robot types — mobile bases, arms, drones, humanoids→ Unified task planning regardless of embodiment differences
WHY THIS IS HARD
Fleet coordination at scale introduces compounding distributed systems challenges:
- 01STEM memory must maintain consistency across robots with different update rates and network latency
- 02Task decomposition must handle dependencies without creating bottlenecks or deadlocks in the coordination graph
- 03Heterogeneous embodiments mean different action spaces — a mobile base cannot pick up objects, an arm cannot navigate
- 04Fault detection must distinguish temporary network drops from permanent agent failures within milliseconds
- 05Dynamic scaling requires hot-joining without disrupting in-progress coordinated tasks
AGORA addresses this with the ATLAS stack for spatial understanding and SYNTHESIS for cross-embodiment policy transfer, unified through the STEM memory architecture that provides a single source of fleet truth.
SYSTEM PERFORMANCE
Measured across multi-robot coordination scenarios:
| METRIC | VALUE |
|---|---|
| Complex Task Success | 95%+ on multi-step coordinated tasks |
| Fault Recovery | Fault-tolerant with automatic task redistribution |
| Fleet Scaling | Dynamic scaling — add/remove agents at runtime |
| Platform Support | Heterogeneous — mobile, arm, drone, humanoid |
WHAT'S BUILT TODAY
| COMPONENT | STATUS | NOTES |
|---|---|---|
| STEM Memory Architecture | COMPLETE | Spatio-Temporal-Embodiment memory graph operational |
| Coordination Primitives | COMPLETE | Task decomposition and assignment pipeline ready |
| Fleet Scaling | IN PROGRESS | Hot-join protocol for dynamic fleet membership |
| Fault Tolerance | IN PROGRESS | State handoff and task redistribution engine |
| Core models | COMPLETE | ATLAS spatial + SYNTHESIS transfer production-ready |
| API layer | IN PROGRESS | Fleet management API, pending infrastructure |
WHERE AGORA DEPLOYS
- APP_01
WAREHOUSE FLEETS
Coordinated pick-pack-ship operations across mobile bases and stationary arms — shared spatial maps, dynamic task routing, fault recovery.
- APP_02
CONSTRUCTION SITES
Heterogeneous fleet coordination for material transport, assembly, and inspection — drones for survey, mobile bases for transport, arms for placement.
- APP_03
DISASTER RESPONSE
Rapidly scaling robot fleets for search and rescue — fault-tolerant coordination when agents are lost, persistent shared mapping of the environment.
UNDER THE HOOD
FOUNDATION: ROBOOS-NEXT ARCHITECTURE
- Brain-cerebellum pattern: central planner + distributed executors
- STEM (Spatio-Temporal-Embodiment) memory graph for fleet-wide knowledge
- Coordination primitives: mutex, barrier, rendezvous, handoff
- Fault detection via heartbeat + task watchdog with configurable timeouts
AGORA IMPLEMENTATION
- STEM memory: distributed graph database with eventual consistency and conflict resolution
- Task planner: hierarchical task network with dependency-aware scheduling
- Assignment engine: capability-proximity-load optimizer with real-time re-planning
- Fault handler: state snapshot + task queue redistribution in <100ms
ANIMA MODULE INTEGRATION
- ATLAS stack provides spatial understanding and mapping for fleet-wide environment model
- SYNTHESIS enables policy transfer across heterogeneous embodiments
- Combined as unified fleet intelligence layer over diverse robot platforms
ARCHITECTURE SPECS
- STEM: distributed graph with sub-50ms sync
- Coordination: lock-free task primitives
- Scaling: hot-join / hot-leave protocol
- Fault: <100ms detection and redistribution
RESEARCH BASIS
- [01]RoboOS-NeXT brain-cerebellum fleet coordination — STEM memory architecture for persistent multi-robot knowledge sharing