What Is Planning in Robotics? How Machines Choose Actions to Reach Goals.

What Is Planning?

Planning is the process of selecting a sequence of actions intended to move a system from its current situation toward a desired goal.

In robotics, planning can involve deciding which task to perform, where to travel, how to approach an object, or what movement to execute.

For example, a warehouse robot assigned to retrieve a container may need to determine where the container is located, how to reach it, and which operations must occur before delivery.

Planning connects goals with possible actions.

Key Takeaways

• Planning determines sequences of actions intended to achieve defined objectives.
• Robotics planning can operate at task, route, motion, and other levels.
• A valid plan depends on accurate information and may need to change when conditions differ from expectations.

How Does Planning Work?

Imagine a mobile manipulator instructed to collect a box and place it on a shelf.

The robot first needs to determine what actions are required.

It may need to travel to the box, position its arm, grasp the object, and navigate to the shelf.

Each step depends on conditions being satisfied.

For example, the robot cannot successfully place the box before grasping it.

A planning system represents these dependencies and determines an appropriate sequence.

Lower-level systems then calculate and execute the physical movements.

If an action fails, the plan may need to change.

What Are the Main Types of Robotics Planning?

Task planning: Determines the high-level actions required to complete an objective.

Path planning: Finds routes through an environment.

Motion planning: Determines feasible movements while respecting robot geometry and constraints.

Grasp planning: Selects how a robot should approach and hold an object.

These functions are often connected.

For example, a task planner may select a goal while a motion planner determines how the robot can physically reach it.

Planning vs. Control

Planning determines what actions should be performed.

Control regulates the physical behavior used to execute those actions.

For example, a planner may generate a trajectory for a robotic arm.

The controller uses motor commands and sensor feedback to follow that trajectory.

The distinction matters because a mathematically valid plan may still fail if the robot cannot physically execute it under the current conditions.

Planning vs. Robot Policy

A policy selects actions according to the current state or observations.

Planning generally involves evaluating or constructing a sequence of future actions.

For example, a learned policy might directly select a movement from camera observations.

A planner might evaluate several possible movement sequences before choosing one.

The approaches can also be combined.

Why Is Planning Difficult in Physical AI?

Robots operate in environments that can change.

Objects may move, people may enter the workspace, and earlier assumptions may become invalid.

A plan developed several seconds earlier may no longer be appropriate.

Robots therefore need ways to monitor progress, detect failures, and replan when necessary.

Frequently Asked Questions

Does robot planning require a language model?

No. Robotics planning existed long before modern language models and can use search, optimization, logic, or other methods.

Can robots plan several steps ahead?

Yes. The planning horizon depends on the system and task.

The Bottom Line

Planning helps robots translate objectives into sequences of actions. Its effectiveness depends on the robot's understanding of its environment and its ability to adjust when circumstances change.