Robotics Calibration: Design Partner Invitation

Why embodiment calibration matters

The KAIROS Robotics adapter is a deterministic pre-actuation safety layer for physical AI and autonomous machines. Sitting between a motion planner or learned VLA policy and the low-level joint controller, it evaluates every proposed trajectory step against the robot’s kinematic limits and workspace boundaries before torque reaches the actuators. When a proposed motion is unsafe at full speed but recoverable at reduced velocity, the gate scales the command into the safe interior rather than triggering a hard stop.

The robotics stack is backed by two pre-registered MuJoCo certifications: Zero Hazards. Eighty-One Percent Recovered (SAF-001), which eliminated 100% of collision hazards across 1,800 scenarios while preserving 81% of recoverable motion via velocity scaling, and Twenty-One of Twenty-Four. Scored Once (CMP-001), which certified a learned 6-DoF neural reach policy in a single access-guarded look against geometrically disjoint held-out targets.

Extending that certification baseline to commercial hardware and customer workcells requires calibrating the adapter against partner embodiments, actuator limits, and operational trajectory recordings.

Eligible environments

Four physical AI and robotics archetypes match the calibration profile:

• Industrial and collaborative manipulators: 6-DoF and 7-DoF articulated arms in assembly, machine tending, dispensing, or shared human-robot cells where dynamic obstacle clearance and stopping-distance margins govern cycle time.
• Bimanual and mobile manipulators: Dual-arm workcells and mobile manipulation platforms executing VLA, diffusion-policy, or imitation-learned skills across variable object geometries and cluttered workspaces.
• Humanoid and legged platforms: Bipedal and quadrupedal embodiments operating in unstructured or human-shared spaces where whole-body momentum, balance margin, and contact transitions require sub-millisecond pre-actuation bounds.
• Autonomous mobile robots (AMRs) and warehouse fleets: Material-handling platforms and industrial vehicles navigating mixed human-machine aisles under variable payload dynamics and braking limits.

Teams with either recorded controller telemetry from physical hardware (ROS 2 rosbag2 / MCAP, HDF5, or structured JSONL) or an existing MuJoCo, Isaac Lab, or Gazebo simulation scene for their embodiment match the standard pilot profile.

Contribution scope

A pilot contribution consists of an embodiment boundary definition and a representative trajectory cohort:

• Kinematic and actuator envelope: Joint position, velocity, acceleration, and torque limits (URDF, MJCF, or parameter sheet), along with simplified collision-primitive envelopes for the robot and static workcell fixtures.
• Trajectory cohort: 500 to 5,000 recorded or simulated motion episodes (nominal task executions, high-speed boundary runs, and recorded near-miss or e-stop episodes) sampled at the controller’s native tick rate.
• Episode labels: Engineering-confirmed classifications on contributed episodes (nominal-safe, near-miss-recoverable, or hazard-interception).
• Aggregate publication rights: Permission to include anonymized, aggregate containment and operability rates (never proprietary CAD meshes or customer floorplans) in co-authored methodology collateral.

AnankeLabs supplies local converter and redaction tooling so partner engineering teams can replace proprietary CAD geometry with bounding primitives and verify every trajectory bundle before transfer.

Partner deliverables

• Signed embodiment calibration artifact: A digest-anchored calibration profile tuned to the partner robot’s kinematic limits, control frequency, and workspace safety margins.
• Containment and operability report: A closed-loop comparison quantifying hazards intercepted, recoverable motion preserved via velocity scaling, and per-tick evaluation latency across the partner cohort.
• Machinery Regulation evidence bundle: A portable replay bundle containing the hash-chained pre-actuation decision transcripts and calibration provenance structured for EU Machinery Regulation (EU) 2023/1230 Annex III technical documentation.
• Co-authorship credit: Optional co-authorship recognition on resulting calibration and safety-case publications.
• Priority adapter access: Early access to KAIROS Robotics runtime binaries, C/C++ FFI libraries, and ROS 2 integration packages.

Data protection and confidentiality

• Mutual NDA: Executed prior to sharing technical specifications, embodiment parameters, or sample trajectory logs.
• Local geometry redaction: Proprietary CAD files, customer facility layouts, and neural policy weights never leave the partner environment; evaluations require only simplified kinematic envelopes and joint-space/Cartesian state traces.
• Aggregate-only reporting: Published findings report statistical containment rates, velocity-recovery fractions, and confidence intervals only.
• Pre-release review: Partner teams review and approve any external output prior to publication.
• NDA specification package: The complete data specification, ROS 2 / MCAP / MuJoCo schema converters, redaction guide, and replay verification harness are delivered under mutual NDA before any data exchange begins.

Scope a pilot

Robotics and physical AI engineering teams operating across any of the four embodiment archetypes can initiate a pilot review via the contact page. Upon initial scoping, AnankeLabs provides the draft mutual NDA, the complete partner data specification, and the local conversion and verification harness.