SYSTEMS / 6 MIN READ
From perception to action.
The three connected layers behind a robotics workflow—and why uncertainty belongs in every layer.
A robotics workflow starts with a loop.
A physical system does not operate on a single answer. It receives information from its environment, interprets that information in relation to a task, and produces a response. What happens next becomes new input. Thinking in loops helps reveal the places where assumptions need to be checked.
Perception: observe with uncertainty.
Sensors and cameras provide signals, not complete knowledge. A perception layer might identify objects, estimate position, or describe available space. Its output should preserve uncertainty rather than turn every observation into a confident conclusion. Lighting changes, occlusion, and unfamiliar objects can all affect the result.
Reasoning: connect intent to constraints.
A request such as “bring the kit to the workstation” contains a goal, but leaves many details unstated. A planning layer needs to consider what the kit is, where the workstation is, which route is available, and when a person should review the task. The plan should express the conditions that must hold for an action to proceed.
Action: compare the plan with reality.
Control translates a proposed plan into a response through the available hardware. Feedback makes the process useful: the system can compare expected progress with observed progress and recognize when the situation has changed. A blocked route or unexpected object should trigger an explicit recovery path.
People belong in the architecture.
An operator should see the supported task boundaries, current state, and exceptions. Review and stop mechanisms are not decorative interface features. They are part of the relationship between the system and its environment.
A practical first step.
Choose one narrow task. Document its inputs, constraints, expected outputs, and review conditions. Then trace the loop with representative examples, including cases where the system should decline or stop. This exercise often reveals more than an ambitious feature list.
Keep exploring.
SYSTEMS / 6 MIN READ
From perception
to action.
The three connected layers behind a robotics workflow—and why uncertainty belongs in every layer.
DESIGN / 5 MIN READ
Designing for
human control.
Why clear intent, useful feedback, and an obvious stop mechanism matter in human–robot collaboration.
DEPLOYMENT / 5 MIN READ
Start small.
Learn in the field.
A practical framework for taking a robotics idea from a narrow problem to a measurable pilot.