uid stringclasses 10
values | dataset_id stringclasses 1
value | year int64 2.02k 2.02k | setting stringclasses 5
values | task stringclasses 5
values | vision_detects_target stringclasses 1
value | lidar_consistent stringclasses 2
values | imu_stable stringclasses 2
values | odometry_consistent stringclasses 2
values | fusion_confidence stringclasses 3
values | pose_solution_stable stringclasses 2
values | execution_safe stringclasses 2
values | ops_summary stringclasses 10
values | question stringclasses 1
value | ground_truth_label stringclasses 2
values | ground_truth_rationale stringclasses 10
values | outcome_signal stringclasses 5
values | source_citation stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RBSF-001 | robotics-sensor-fusion-coherence-failure-v0.1 | 2,024 | warehouse | navigation | yes | yes | yes | yes | high | yes | yes | All sensors agree and pose stable. | Is sensor fusion coherent. Answer coherent or incoherent. | coherent | Sensors aligned. | safe_operation | Synthetic |
RBSF-002 | robotics-sensor-fusion-coherence-failure-v0.1 | 2,024 | warehouse | navigation | yes | no | yes | no | low | no | no | Vision sees path but lidar conflicts; fusion confidence low. | Is sensor fusion coherent. Answer coherent or incoherent. | incoherent | Sensor disagreement. | collision_risk | Synthetic |
RBSF-003 | robotics-sensor-fusion-coherence-failure-v0.1 | 2,023 | factory | arm_guidance | yes | yes | yes | yes | high | yes | yes | Stable multi-sensor alignment. | Is sensor fusion coherent. Answer coherent or incoherent. | coherent | Reliable pose. | safe_operation | Synthetic |
RBSF-004 | robotics-sensor-fusion-coherence-failure-v0.1 | 2,023 | factory | arm_guidance | yes | yes | no | no | medium | no | no | IMU drift causes pose instability. | Is sensor fusion coherent. Answer coherent or incoherent. | incoherent | Pose estimate unstable. | failure_risk | Synthetic |
RBSF-005 | robotics-sensor-fusion-coherence-failure-v0.1 | 2,022 | field | inspection | yes | yes | yes | yes | high | yes | yes | Fusion consistent in outdoor scan. | Is sensor fusion coherent. Answer coherent or incoherent. | coherent | Environment model stable. | safe_operation | Synthetic |
RBSF-006 | robotics-sensor-fusion-coherence-failure-v0.1 | 2,022 | field | inspection | yes | no | yes | yes | low | no | no | Lidar dropouts conflict with vision. | Is sensor fusion coherent. Answer coherent or incoherent. | incoherent | Low fusion confidence. | navigation_risk | Synthetic |
RBSF-007 | robotics-sensor-fusion-coherence-failure-v0.1 | 2,021 | hospital | delivery | yes | yes | yes | yes | high | yes | yes | Corridor sensors aligned. | Is sensor fusion coherent. Answer coherent or incoherent. | coherent | Stable localisation. | safe_operation | Synthetic |
RBSF-008 | robotics-sensor-fusion-coherence-failure-v0.1 | 2,021 | hospital | delivery | yes | no | no | no | low | no | no | Multiple sensors disagree. | Is sensor fusion coherent. Answer coherent or incoherent. | incoherent | Fusion collapse. | navigation_risk | Synthetic |
RBSF-009 | robotics-sensor-fusion-coherence-failure-v0.1 | 2,020 | lab | manipulation | yes | yes | yes | yes | high | yes | yes | Camera and depth aligned. | Is sensor fusion coherent. Answer coherent or incoherent. | coherent | Stable grasp planning. | safe_operation | Synthetic |
RBSF-010 | robotics-sensor-fusion-coherence-failure-v0.1 | 2,020 | lab | manipulation | yes | no | yes | no | low | no | no | Depth and camera disagree. | Is sensor fusion coherent. Answer coherent or incoherent. | incoherent | Unreliable pose. | grasp_failure | Synthetic |
What this repo is for
You use it to detect when multiple sensors stop agreeing about reality.
It captures real-world autonomy failures:
camera sees clear path but lidar disagrees
IMU drift destabilises pose
odometry diverges from world model
fusion confidence collapses before failure
Applies to:
warehouse robots
mobile robots
drones
industrial arms
field robotics
Prompt format
Return exactly one token coherent or incoherent
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