PERCEPTIONCURRENT2026-06-08

Can we stabilize an inverted pendulum with feedback from a time-of-flight camera?

Anthony Czubarow, Antonio Terpin, Raffaello D'Andrea

Low-cost time-of-flight cameras can reliably Control & PlanningControlThe method used to make the robot move the way you want. fast, unstable systems like inverted pendulums despite their noisy, low-resolution depth data—expanding the range of affordable sensors suitable for precision Control & PlanningFeedbackInformation returned from sensors during action to help correct behavior. Control & PlanningControlThe method used to make the robot move the way you want. in robotics. This demolishes the common assumption that ToF cameras are only for slow tasks, opening up cheap hardware options for dynamic Manipulation & TasksManipulationUsing a robot arm or hand to move or interact with objects. and balance tasks.

THE PROBLEM

This paper focuses on Perception & SensingPerceptionThe process of turning raw sensor data into useful understanding of the world.. Low-cost time-of-flight cameras can reliably Control & PlanningControlThe method used to make the robot move the way you want. fast, unstable systems like inverted pendulums despite their noisy, low-resolution depth data—expanding the range of affordable sensors suitable for precision Control & PlanningFeedbackInformation returned from sensors during action to help correct behavior. Control & PlanningControlThe method used to make the robot move the way you want. in robotics. This demolishes the common assumption that ToF cameras are only for slow tasks, opening up cheap hardware options for dynamic Manipulation & TasksManipulationUsing a robot arm or hand to move or interact with objects. and balance tasks. Read the paper by tracking the Core ConceptsTaskThe job the robot is supposed to complete, such as pick-and-place, navigation, or drawer opening. definition, the Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. or data assumptions, and the evidence that supports the claimed improvement.

HOW IT WORKS

1

Task framing

The paper frames the work as Perception & SensingPerceptionThe process of turning raw sensor data into useful understanding of the world.. Start here because it defines what success means and which assumptions the rest of the method inherits.

2

Core method

Low-cost time-of-flight cameras can reliably Control & PlanningControlThe method used to make the robot move the way you want. fast, unstable systems like inverted pendulums despite their noisy, low-resolution depth data—expanding the range of affordable sensors suitable for precision Control & PlanningFeedbackInformation returned from sensors during action to help correct behavior. Control & PlanningControlThe method used to make the robot move the way you want. in robotics. This demolishes the common assumption that ToF cameras are only for slow tasks, opening up cheap hardware options for dynamic Manipulation & TasksManipulationUsing a robot arm or hand to move or interact with objects. and balance tasks. When reading the method section, identify the inputs, the learned or engineered representation, and the Core ConceptsActionA command the robot sends to its motors, controller, or low-level system. or prediction produced by the system.

3

Data and supervision

For robotics work, the data story is part of the method: check whether the system depends on Imitation & Reinforcement LearningTeleoperation (teleop)A human remotely controlling the robot, often to collect demonstrations., Simulation & Sim-to-RealSimulationA virtual environment where robots can be trained or tested., internet video, human labels, or Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. rollouts.

4

Evaluation evidence

The key reported result is Demonstrated stable Simulation & Sim-to-RealReal-time controlProducing actions fast enough for live robot control. of inverted pendulum using only a low-resolution time-of-flight camera, proving sufficient for fast Control & PlanningFeedbackInformation returned from sensors during action to help correct behavior. Movement, Mechanics & Robot BodyDynamicsThe study of motion including forces, torques, mass, and inertia.. Look for the gap between the headline result and the Simulation & Sim-to-RealDeploymentPutting the trained system on a real robot. setting you would actually care about.

FIGURES

KEY RESULTS

Main resultReported in paper

Demonstrated stable Simulation & Sim-to-RealReal-time controlProducing actions fast enough for live robot control. of inverted pendulum using only a low-resolution time-of-flight camera, proving sufficient for fast Control & PlanningFeedbackInformation returned from sensors during action to help correct behavior. Movement, Mechanics & Robot BodyDynamicsThe study of motion including forces, torques, mass, and inertia.

WHY DEVELOPERS SHOULD CARE

Low-cost time-of-flight cameras can reliably Control & PlanningControlThe method used to make the robot move the way you want. fast, unstable systems like inverted pendulums despite their noisy, low-resolution depth data—expanding the range of affordable sensors suitable for precision Control & PlanningFeedbackInformation returned from sensors during action to help correct behavior. Control & PlanningControlThe method used to make the robot move the way you want. in robotics. This demolishes the common assumption that ToF cameras are only for slow tasks, opening up cheap hardware options for dynamic Manipulation & TasksManipulationUsing a robot arm or hand to move or interact with objects. and balance tasks.

LIMITATIONS

The main limitation to check is whether the claimed behavior holds outside the paper's reported setup. That means testing across different Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. embodiments, scenes, objects, and data distributions.

WHAT COMES NEXT

The practical next step is independent reproduction with clear baselines, ablations, and stress tests. For a developer, the useful follow-up is to map the paper's Perception & SensingPerceptionThe process of turning raw sensor data into useful understanding of the world. assumptions onto a concrete Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. stack, then test the smallest version of the method that could run end to end.

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