Perception + Uncertainty
Understanding what systems detect, overlook and misunderstand.
Join GNSRLDesigning embodied intelligence that acts with people.
GNSRL studies how robots, adaptive machines and embodied AI perceive, decide, interact and learn within human environments.

Embodied systems require clear boundaries for safety, human control, trust and accountability because their decisions can directly affect people and environments.
Understanding what systems detect, overlook and misunderstand.
Studying how people interpret, rely upon and collaborate with machines.
Designing meaningful human oversight, intervention and refusal.
Examining how adaptive behaviour changes responsibility over time.
How should an embodied system communicate uncertainty?
When should a human be able to intervene?
How can trust remain proportionate to actual capability?
Who is responsible for adaptive behaviour?
How should robots operate around vulnerable populations?
What evidence is required before deployment in shared environments?
Each stage keeps purpose, context, uncertainty and responsibility connected from the first question to the final outcome.
Perceive people, objects and context with visible limits.
Represent uncertainty before it becomes a decision.
Select proportionate actions within clear boundaries.
Maintain human control during physical interaction.
Evaluate adaptation, outcomes and accountability.
Connects sensing, inference and validation with physical action.
Explore domainExamines trust, behaviour and human machine interaction.
Explore domainDefines human control, agency and protection from coercion.
Explore domainAddresses sensitive data created by embodied interaction.
Explore domainClear human authority, intervention and refusal mechanisms.
Methods for aligning confidence with actual system capability.
Evidence about embodied performance, uncertainty and risk.
Responsibility models for shared and adaptive action.
Bring a discipline, a research question or a responsible method. GNSRL creates the shared structure for them to work together.
Bring expertise in perception, control and embodied systems.
Study attention, trust, learning and human expectation.
Create understandable collaboration and meaningful control.
Define evidence, oversight and responsibility for deployment.