uid
stringclasses 10
values | dataset_id
stringclasses 1
value | year
int64 2.02k
2.02k
| setting
stringclasses 5
values | task
stringclasses 5
values | perception_detected_target
stringclasses 1
value | pose_estimate_quality
stringclasses 3
values | grasp_or_action_plan_valid
stringclasses 2
values | collision_check_passed
stringclasses 2
values | execution_completed
stringclasses 2
values | observed_outcome_matches_intent
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 4
values | source_citation
stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RBPA-001
|
robotics-perception-action-coherence-risk-v0.1
| 2,024
|
warehouse
|
pick_place
|
yes
|
high
|
yes
|
yes
|
yes
|
yes
|
Target detected, plan valid, execution matches intent.
|
Is perception-action coherent. Answer coherent or incoherent.
|
coherent
|
Perception and action remain aligned.
|
successful_task
|
Synthetic
|
RBPA-002
|
robotics-perception-action-coherence-risk-v0.1
| 2,024
|
warehouse
|
pick_place
|
yes
|
low
|
no
|
no
|
no
|
no
|
Target detected but pose poor, plan fails, execution aborts.
|
Is perception-action coherent. Answer coherent or incoherent.
|
incoherent
|
Perception uncertainty breaks action.
|
failure_risk
|
Synthetic
|
RBPA-003
|
robotics-perception-action-coherence-risk-v0.1
| 2,023
|
factory
|
bin_picking
|
yes
|
high
|
yes
|
yes
|
yes
|
yes
|
Accurate pose leads to clean grasp and lift.
|
Is perception-action coherent. Answer coherent or incoherent.
|
coherent
|
Action matches perception.
|
successful_task
|
Synthetic
|
RBPA-004
|
robotics-perception-action-coherence-risk-v0.1
| 2,023
|
factory
|
bin_picking
|
yes
|
medium
|
yes
|
yes
|
yes
|
no
|
Robot grasps wrong item despite detection.
|
Is perception-action coherent. Answer coherent or incoherent.
|
incoherent
|
Outcome diverges from intent.
|
quality_escape
|
Synthetic
|
RBPA-005
|
robotics-perception-action-coherence-risk-v0.1
| 2,022
|
lab
|
door_opening
|
yes
|
high
|
yes
|
yes
|
yes
|
yes
|
Handle detected, trajectory executed, door opens.
|
Is perception-action coherent. Answer coherent or incoherent.
|
coherent
|
Intent achieved.
|
successful_task
|
Synthetic
|
RBPA-006
|
robotics-perception-action-coherence-risk-v0.1
| 2,022
|
lab
|
door_opening
|
yes
|
high
|
yes
|
no
|
no
|
no
|
Handle detected but collision check fails, action unsafe.
|
Is perception-action coherent. Answer coherent or incoherent.
|
incoherent
|
Safety check breaks execution.
|
safety_risk
|
Synthetic
|
RBPA-007
|
robotics-perception-action-coherence-risk-v0.1
| 2,021
|
hospital
|
delivery
|
yes
|
medium
|
yes
|
yes
|
yes
|
yes
|
Robot navigates to target and delivers payload.
|
Is perception-action coherent. Answer coherent or incoherent.
|
coherent
|
Perception supports correct action.
|
successful_task
|
Synthetic
|
RBPA-008
|
robotics-perception-action-coherence-risk-v0.1
| 2,021
|
hospital
|
delivery
|
yes
|
low
|
no
|
no
|
no
|
no
|
Robot mis-localises and stops in wrong bay.
|
Is perception-action coherent. Answer coherent or incoherent.
|
incoherent
|
Perception drift prevents completion.
|
failure_risk
|
Synthetic
|
RBPA-009
|
robotics-perception-action-coherence-risk-v0.1
| 2,020
|
field
|
inspection
|
yes
|
high
|
yes
|
yes
|
yes
|
yes
|
Object detected and inspected with correct standoff.
|
Is perception-action coherent. Answer coherent or incoherent.
|
coherent
|
Tracking and control aligned.
|
successful_task
|
Synthetic
|
RBPA-010
|
robotics-perception-action-coherence-risk-v0.1
| 2,020
|
field
|
inspection
|
yes
|
medium
|
yes
|
yes
|
yes
|
no
|
Approach overshoots and loses target.
|
Is perception-action coherent. Answer coherent or incoherent.
|
incoherent
|
Control does not realise perceived plan.
|
failure_risk
|
Synthetic
|
What this repo is for
You use it to detect when a robot sees the right thing but does the wrong thing.
It targets day-to-day deployment failures:
correct detection with wrong grasp
pose uncertainty that breaks planning
safety check failure that blocks execution
execution that completes but misses intent
Typical uses:
warehouse pick and place
bin picking
hospital delivery robots
field inspection robots
Prompt format
Output must be exactly one token
coherent or incoherent
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