01
Perceive
Combine sensors, maps and local context while assuming that visibility, hardware and the environment will occasionally be worse than the demo.
eFind Research
Autonomy Research
The physical world does not have an Undo button.
RESEARCH
The question
The physical world does not have an Undo button.
Research is where eFind is allowed to be uncertain on purpose.
The job is to turn a broad question into things we can test, measure, reject, improve and eventually—if the evidence is good enough—build into a product or infrastructure decision.
Curiosity needs a method.
Autonomy Research
What we are exploring
The machine has to understand the world it can actually hit.
The topics below describe areas of investigation, not guarantees about a future product.
PERCEPTION
See the environment
Combine sensors and models robustly enough to understand what is happening around the machine.
PLANNING
Choose under uncertainty
Make safe decisions when other people, vehicles and conditions do something unexpected.
SIMULATION
Practice the rare cases
Test dangerous and unusual scenarios in software before reality gets a vote.
DEGRADED MODE
Fail safely
Define what the system does when sensors, maps, compute or connectivity are incomplete.
How research earns its keep
Simulation is cheap. Consequences are not.
02
Predict
Estimate how people, vehicles, weather and other agents may move without pretending uncertainty has disappeared because a probability has three decimal places.
03
Plan
Choose actions that respect rules, margins and the ability to stop safely. The best route is not always the shortest one.
04
Fail safe
Define what happens when sensors disagree, the network disappears, confidence falls or the world presents something the system has never seen before.
The standard
A good autonomous system knows when not to be autonomous.
Autonomy research connects local intelligence, Maps, communications, simulation and infrastructure. The shared stack matters, but every physical domain—road, air, water and space—still has its own rules and failure modes.
Autonomy stack
Perceive. Predict. Plan. Control. Recover.
Autonomy research spans the loop that turns sensor input into safe physical action. The details change across road, air, water and robotics, but the architecture shares many of the same hard problems.
Perception is never complete
Sensors have blind spots, weather interferes, objects behave unexpectedly and maps age. Systems need uncertainty estimates and fallback behavior rather than pretending perception is a perfect picture of the world.
Planning includes other people
A safe route is not only geometry. It includes how humans drive, walk, fly, signal, hesitate and occasionally do something beautifully irrational.
Recovery is part of autonomy
What happens after a sensor fails, a route becomes unavailable or the system loses a network is as important as nominal operation. Safe degradation is a first-class behavior.