Teleoperation refers to the remote control of machines or robots by a human operator. The term combines “tele”, meaning “at a distance”, and “operation”, denoting control or manipulation. In teleoperation systems, an operator sends commands to a robot from afar and receives feedback such as video, sensor data, or tactile information to make informed decisions in real-time.
Unlike autonomous systems, teleoperated robots rely on human decision-making for task execution. This model is particularly advantageous in environments that are hazardous, hard to reach, or dynamically complex—where autonomous navigation may not yet be feasible or safe.
Teleoperation is typically facilitated via network communication and requires robust system design to handle latency, bandwidth constraints, synchronization, and real-time sensor feedback loops.
Teleoperation plays a critical role in modern robotics, especially in industries and use cases that demand precision, safety, and flexibility. Below are some of the most common applications of teleoperation in robotics:
Robots are deployed in disaster zones to locate and assist victims while keeping human operators safe. Operators can control these robots remotely using video feeds and environmental sensors.
Teleoperation allows scientists to control planetary rovers like NASA’s Perseverance on Mars. Due to the distance, communication is often asynchronous, and semi-autonomous behaviors are combined with teleoperated oversight.
Surgeons can remotely control robotic systems to perform minimally invasive surgeries with extreme precision. Teleoperated surgical robots like the da Vinci system enhance reach and dexterity.
Remote operation of heavy equipment in farms and mines reduces the risk to human workers and allows centralized control of machinery across vast locations.
Teleoperation is used for hazardous tasks like nuclear plant inspection, underwater welding, or chemical plant maintenance, enabling human operators to manipulate robotic arms and sensors safely from a distance.
Effective teleoperation relies on various robotics technologies:
Foxglove provides a powerful suite of tools to support teleoperation workflows in robotics, enabling teams to visualize live data, monitor robot performance, and maintain remote control across diverse environments.
Foxglove supports live visualization of streams such as camera feeds, lidar scans, robot transforms, and sensor data over protocols like rosbridge and WebSocket. Operators can monitor real-time feedback in a centralized interface, gaining situational awareness needed for responsive teleoperation.
Foxglove natively supports ROS 1 and ROS 2 ecosystems enabling you to:
This tight coupling allows seamless debugging, operator training, and system validation—all critical for effective remote control operations.
Operators can create mission-specific layouts that combine 3D scenes, camera feeds, telemetry plots, and map views—all tailored to their needs. This is especially useful when managing multi-robot fleets or complex environments.
Using Foxglove for teleoperation offers multiple strategic advantages:
Whether you’re teleoperating a rover on rugged terrain or a robotic arm in a hazardous zone, Foxglove enables safe, scalable, and efficient remote control workflows.
Want to start building robust teleoperation systems? Explore Foxglove’s integrations and tooling to power your robotics deployment.