achiepatricia/han-autonomous-failure-recovery-intelligence-dataset-v1

Humanoid Autonomous Failure Recovery Intelligence Dataset

This dataset models failure detection and autonomous recovery behavior of humanoid agents operating in decentralized environments.

It captures how agents identify faults, diagnose root causes, initiate recovery strategies, and restore operational stability without centralized intervention.

Objective

To enable resilient, self-healing humanoid systems capable of maintaining mission continuity under hardware, software, or network failures.

Data Fields

• —recoveryeventid
• —agent_id
• —mission_id
• —failure_category
• —failure_severity
• —subsystem_affected
• —detection_method
• —diagnosticconfidencescore
• —recoverystrategyselected
• —fallbackmodeactivated
• —peerassistancerequired
• —consensusvalidationstatus
• —recoverytimeseconds
• —performancedegradationpercentage
• —postrecoverystability_score
• —recurrence_probability
• —timestamp
• —integrityverificationhash

Failure Categories Modeled

• —hardware_fault
• —software_exception
• —communication_loss
• —power_instability
• —sensor_corruption
• —actuator_malfunction

Recovery Strategies Included

• —subsystem_restart
• —dynamictaskreassignment
• —safemodeactivation
• —peer_offloading
• —energy_recalibration
• —redundancy_switch

Use Cases

• —Self-healing humanoid AI systems
• —Distributed resilience evaluation
• —Mission continuity optimization
• —Swarm-level fault mitigation
• —Reliability governance frameworks

Part of

Humanoid Network (HAN)

License

MIT