Robotics Lab
Safety engineering
Why safety is treated as a research pillar and an engineering discipline across every robotic system we build.
Overview
Safety in robotics is not a checklist applied at the end of a project. It is a design constraint present from the first sketch: what can go wrong, how the system detects it, and how it fails into a safe state.
Our approach combines formal assurance, runtime monitoring and human-in-the-loop authority so that autonomy is always bounded by predictable, observable limits.
What this covers
Fail-safe by design
Every actuated system has a defined safe state and a deterministic path to reach it under fault conditions.
Runtime monitoring
Independent monitors watch behavior against expected envelopes and can intervene before harm occurs.
Formal assurance
Critical control logic is specified and verified, so safety claims are auditable rather than aspirational.
Human authority
Operators retain clear, low-latency means to observe, pause and override autonomous behavior.
Graceful degradation
When sensors or compute degrade, capability is reduced predictably instead of failing unpredictably.
Incident learning
Near-misses and faults are logged, reviewed and fed back into design — the system gets safer over time.
FAQ
Frequently asked
- Findings that advance the field's safety posture are documented on the research roadmap where appropriate.