Datasets:
metadata
license: mit
language:
- en
task_categories:
- text-classification
tags:
- robotics
- fleet
- swarm
- coordination
pretty_name: Clarus Multi Agent Coordination Coherence Risk v0.1
dataset_id: robotics-multi-agent-coordination-coherence-risk-v0.1
domain: robotics
pillar: multi_agent
series: RB-05
coherence_pair:
observable_a: shared_map_and_task_allocation_alignment
observable_b: collision_avoidance_deadlock_and_goal_completion
ground_truth: ground_truth_label
validation_status: pre_release
What this repo is for
You use it to detect when robot fleets stop coordinating properly.
It captures real deployment failure signals:
shared map divergence
task allocation conflicts
comms latency desync
deadlocks in corridors
swarm formation collapse
Applies to:
warehouse robot fleets
hospital delivery robots
drone swarms
factory material handling
Prompt format
Return exactly one token coherent or incoherent