HaptalAIapache-2.0

Haptal Robotics Failure Benchmark v1.0

The first public benchmark for robot training data annotation quality and failure detection in manipulation episodes, containing 600 held-out test episodes across 6 failure classes generated from real LeRobot trajectories with physics-based failure injection.

Downloads14
Likes2

Technical Profile

Robot Embodiments
PushTxArmALOHA
Environment
simulation
Task Types
manipulationgraspingpushinglifting
License
apache-2.0
Part of the Haptal Robotics Failure Benchmark v1.0 family

Access

Need custom physical AI data?

Claru builds purpose-built datasets for simulation applications with dense human annotations and quality assurance.

Request a Sample Pack