Perception model
Task-relevant vision, depth, touch and contextual understanding.
Product Direction / GappAI Skill Library
Physical skills,
built to travel.
GappAI is developing a library architecture for validated robot skills that can be versioned, licensed and adapted across supported robots, customer environments and sectors.
Propose a skill 01 / Product direction
Build once. Validate carefully. Adapt repeatedly.
Most robotics projects begin again from zero. The GappAI Skill Library is our long-term product direction for converting project-specific engineering into reusable Physical AI assets.
It is not presented as a catalogue of off-the-shelf products available today. Skills enter the library only as evidence, supported hardware and operating boundaries become clear.
Human expertise / Skill captureRecord how experts
Record how experts
perceive, decide and act.
Task-relevant vision, motion, sequence and interaction data become the foundation for measurable robot learning.
02 / Skill package
A skill is a governed
deployment package.
A useful robot skill is more than a model file. It combines learned behavior with hardware requirements, operating limits, evaluation evidence and the components needed for safe adaptation.
Action policy
Manipulation, motion and control behavior for the defined operation.
Robot profile
Supported embodiments, payload, reach, degrees of freedom and compute.
Sensor profile
Required cameras, force sensing, tactile sensing and calibration.
Tool configuration
End-effectors, fixtures, task tools and physical interfaces.
Safety envelope
Operating boundaries, stop behavior, human oversight and exclusions.
Evaluation protocol
Completion, reliability, cycle time, intervention and safety criteria.
Adaptation layer
Robot-specific and environment-specific parameters and integration logic.
Deployment assets
Simulation, test scenarios, setup instructions and monitoring hooks.
Version record
Validated conditions, limitations, changes and supported configurations.
03 / Evidence levels
Capability claims
need a maturity level.
Each level communicates where a skill has been tested and what may still require engineering. A skill does not advance through language—it advances through evidence.
Research Skill
Evaluated in research, simulation or laboratory conditions. Not represented as field-ready.
Pilot-Validated Skill
Evaluated in a bounded customer-relevant environment against agreed criteria.
Deployment-Validated Skill
Demonstrated in real operations within documented conditions and limitations.
Multi-Platform Skill
Validated on more than one supported robot platform or embodiment.
04 / Adaptation architecture
One core capability.
Four adaptation layers.
Reusability does not mean identical behavior everywhere. The core skill is combined with robot, environment, safety and operational layers for each deployment.
Different robotic bodies.
Core skill+Robot adapter+Environment calibration+Safety envelope+Monitoring & updates
Hardware-awareDifferent robots require different kinematics, payload limits, sensors and control interfaces.
Environment-awareLighting, materials, layout, people and operating rules change deployment behavior.
Evidence-boundA validation result applies only to the documented configuration and conditions.
05 / Illustrative library roadmap
Skills for real work.
Not fictional availability.
The following entries illustrate the task classes GappAI intends to develop through paid pilots and partnerships. They are product directions, not claims of currently licensed or deployment-validated products.
Industrial Torque Assembly Skill
Fastener localization, tool handling, torque execution and verification for bounded assembly operations.
Target evidence: pilot validationMunicipal Surface Cleaning Skill
Surface perception, tool control, obstacle awareness and repeatable cleaning coverage.
Target evidence: pilot validationHospitality Linen Handling Skill
Deformable-object perception, grasping, folding, placement and quality checks.
Target evidence: research to pilotTraffic Infrastructure Maintenance Skill
Component identification, safe tool use, inspection and structured maintenance procedures.
Target evidence: research to pilotProperty Inspection Skill
Routine visual checks, exception capture, navigation and structured reporting.
Target evidence: researchHousehold Object Organization Skill
Open-world object handling, placement, routine learning and human-aware operation.
Target evidence: long-term research06 / Commercial model
Develop a new skill.
Or adapt a validated one.
As the library matures, customers can begin either with a new operation or with an existing skill whose evidence and supported configurations fit the use case.
New skill development
Operation analysis, demonstrations, data, engineering, controlled pilot and validation create a new capability.
Library skill adaptation
A compatible skill is licensed, adapted to the robot, calibrated to the environment and revalidated for the customer's conditions.
Managed robotic operation
Where validated demand supports it, a library skill can become part of a GappAI-managed fleet service with defined capacity, monitoring and operational evidence.
Explore managed operationsSkill licenceRobot adaptationEnvironment calibrationDeployment & integrationUpdates & improvementSupport & monitoring
Physical AI Pilot / Skill development