Robotics and Physical AI Data Hub

Compare published Physical AI benchmark results while keeping robot, environment, trial count, protocol and adaptation conditions attached to every score.

See what Physical AI models actually demonstrated on real robots, including task, control mode, trials, failures, interventions and evidence limits.

Compare six reported robot-learning data budgets by training stage, unit, included subsets and access limits. Counts are reported by the authors, not independently recounted.

Compare published robot-model inference latency with GPU, precision, model size, batch size and test conditions kept visible beside every result.

Track documented Physical AI and embodied robotics deployments while separating pilots, agreements, operating sites, model disclosure and intervention evidence.

Review documented Physical AI task failures and public failure taxonomies without guessing causes or turning isolated events into universal reliability claims.

Compare retained Physical AI hiring activity by company using active listings and role mix. The index measures public hiring activity, not workforce size.

Measure which skills are explicitly requested in retained Physical AI job descriptions, including programming languages, ML methods, simulation, perception and robot control.

Compare only publicly disclosed compensation from retained Physical AI and robotics job listings, preserving original currency and annual, monthly or hourly periods.

Two historical Agility Robotics appointments, separating roles taken in May 2023 from the leadership changes announced on 15 May 2024.

Four sourced connections involving a robotics spinout, a researcher's education and published model collaborations. These are different relationships, not a university ranking.

Connected evidence for humanoid models, deployments, failures, production, shipments and funding.

Search verified humanoid robot specifications, manufacturers, prices and commercial status.

Compare source-backed humanoid specifications without filling unknown fields with estimates.

Source-linked charts covering robot prices, hardware, availability, deployment and reliability evidence.

Track verified Chinese humanoid models, manufacturers, public prices and commercial status.

Separate source-backed production milestones, shipments and deliveries instead of merging them.

Document operating sites, customers, tasks, deployment status and unit counts when disclosed.

Review documented failures, intervention notes, observation type and denominators when available.