A robot policy determines how a robot acts from its current sensor information, internal state and task goal. It may be programmed with explicit rules, learned from demonstrations or optimized through reinforcement learning. The policy can produce high-level plans or direct motor commands.
A learned policy can adapt to varied situations but may behave unpredictably outside its training experience. Physical deployment therefore requires representative testing, constrained actions, monitoring and independent safety controls that do not rely only on the policy's judgment.
ELI5
A robot policy is the part that decides what physical action the robot should take from what it senses and what it is trying to do. It is like a set of driving habits that turns the road situation and destination into steering and braking choices.
For example, a rover policy can use a camera view and a target location to decide when to move forward, turn or stop. A high-level agent may choose the goal, but the policy handles the machine-specific action and should stop when the scene is unsafe or unclear.
How is a robot policy learned?
A policy can be learned from human demonstrations, simulation, reinforcement learning, real-world data or a combination of these methods.
Why does a robot policy need safety controls?
A learned policy may encounter unfamiliar conditions or select an unsafe action, so external limits and monitoring are needed to protect people and equipment.
