01 / Interaction
Separation is dynamic.
Assess human/robot distance together with closing speed, reaction time, braking behavior and the stopping envelope.
Safe AI Lab / Robotics & Physical AI Safety
Understanding consequences beyond the immediate robot action.
Collision avoidance is essential, but physical safety also depends on support, load, stability, connectivity and stored energy across the wider scene.
Customers benefit from: simulation of hazardous physical interactions, development of safety envelopes and runtime monitors, analysis of indirect and cascading consequences, and structured evidence for requirements and safety cases.
Physical safety research scenarios
02 / Physical consequences
One action can change the whole scene.
Investigate support relationships, load paths, stability and cascading effects when objects are moved or removed.
03 / Hazardous energy
Safety extends beyond contact.
Examine stored energy, high-voltage clearances, cable loading and isolation during collaborative maintenance.
04 / Mobile systems
Terrain changes the safety margin.
Vary payload, centre of mass, friction and braking demand to investigate stability and motion on slopes.
A safe distance does not make every action safe.
A robot may avoid direct contact with a person and still create danger by removing structural support, shifting a load, releasing tension, destabilizing stacked objects or triggering a cascading event.
Engineering and research collaboration
Customers can commission focused simulation and safety-concept activities. The wider capability for physical consequence awareness remains active research and is not presented as a finished autonomy product.
Physical AI Safety research
Scene understanding, support and contact relationships, stability, load paths, connectivity and cascading physical effects.
Safety concept development
Runtime monitors, safety envelopes, guardrails, safe-action selection and fallback strategies.
Simulation-based safety assurance
Hazardous scenarios, fault injection and evidence for verification, safety requirements and safety cases.
Reasoning chain
From perception to consequence envelope.
The sequence makes the required reasoning explicit and therefore easier to test.
Perceive the complex scene
Map support, contact, load and connectivity
Predict indirect and cascading effects
Check the consequence envelope
Simulation cases
Simple scenes can expose complex hazards.
Each case can vary geometry, friction, mass, contact, motion and human proximity to build structured evidence.
Remove from a stack
An object appears free to grasp but supports an unstable load above it.
Move on a slope
A payload shift changes the centre of mass, braking demand or rollover margin.
Release stored energy
Manipulating a connected part releases tension, pressure or elastic energy outside the immediate workspace.
Operate near high voltage
Motion changes clearances, cable loading or access to energized equipment.
Transfer or assist a person
Support, posture, contact force and fallback behaviour interact throughout the action.
Shift a shared support
Moving one object changes the stability of connected or resting objects elsewhere.
Collaborate on Physical AI safety.
We welcome focused research, simulation and safety concept activities with robotics developers and technology partners.