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
- Downloads last month
- 8