Independent by design.
The planner is not trusted to authorize its own actions. A separate decision path sets the terms of permissible execution.
As robots become more adaptive, the boundary between what AI proposes and what a machine is permitted to do becomes fundamental.
NEDELV is developing AEGIS—an independent execution-authority architecture for embodied intelligence.
Robotic intelligence is becoming more capable, more general, and less predictable. The authority to act in the physical world should not depend on the planner's confidence—or its own account of what happened.
We're researching a distinct execution boundary that evaluates machine-generated proposals against independently administered constraints, and separates authorization from evidence of execution.
AEGIS separates the generation of an action from the decision to permit it—and from the record that a permitted effect occurred.
Produces candidate actions. Does not grant permission.
UNTRUSTED COGNITIONSeparates a permitted command from a claimed applied effect.
ACTUATOR GATE / RESEARCHAssociates simulated outcomes with matching transaction records.
TRACEABLE OUTCOMESThe planner is not trusted to authorize its own actions. A separate decision path sets the terms of permissible execution.
As intelligence changes, the authorization contract is intended to remain separately governed and reviewable.
A decision and an actual effect are different events. The research prototype preserves that distinction in simulated execution records.
It is an independent systems decision. That's the research direction behind AEGIS.
AEGIS is an implemented research-stage system, not a certified hardware safety product. Our work is focused on closing the gap between a demonstrated software boundary and dependable physical enforcement.
Investigating how an independently administered authorization decision can be made binding at a robot's actual command interface.
Research objective ↗Testing request validity and enforcement behavior when sensing is delayed, proposals are stale, and workloads compete for compute resources.
Research objective ↗Defining repeatable authorization interfaces without assuming that different robots share the same physical constraints or control dynamics.
Research objective ↗Demonstrated in software simulation: separate authorization, denial, replanning, and receipt-gated presentation. Under investigation: physical mediation, repeatable timing under real workloads, and hardware-specific assurance.
RESEARCH / NOT CERTIFICATIONWe welcome conversations with robotics researchers, hardware integrators, and technical partners working on dependable adaptive systems.
Research inquiries