3D ToF Solutions for Robotics & AMRs

Time-of-Flight depth sensing can provide distance information for robot obstacle perception, pallet docking and near-field interaction. Select a sensor from the smallest relevant target, working distance, coverage, motion and host processing requirements.

We offer area dToF modules, MIPI depth modules and USB RGB-D cameras for robot development. Choose area distance sensing, embedded depth or combined color and depth to match your perception task and host design.

DOMI ToF camera 3d obstacle avoidance depth solution
Robotics & AMR

3D Obstacle Avoidance

Add 3D ToF or RGB-D depth sensing to cleaning and delivery robots for near-field obstacle, overhang and drop-off perception. Compare camera options, mounting geometry and validation methods for integration with the robot’s navigation system.

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Pallet detection fork mounting fov diagram
Robotics & AMR

Pallet Detection & Docking

Provide autonomous forklifts with 3D depth data for pallet pose estimation, fork-pocket localization and docking alignment. Explore camera selection, mounting and validation requirements for integrating depth sensing into the vehicle’s perception and control loop.

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Select by robot task

Task Candidate route Evaluation priorities
Area obstacle-zone sensing DMAS2M001 area dToF Target size relative to 40 × 30 sampling; 10 fps timing; valid depth coverage
RGB-assisted object perception DM-RGBD5002A / DM-RGBD5003A Depth and RGB coverage; frame pairing; host software and calibration
Embedded near-field depth DMOM2508CL / DMOM2808D MIPI modules Required range; CSI-2 host pipeline; mounting and power
Pallet docking A depth route selected for the pallet geometry Fork-pocket visibility; occlusion; final alignment error and latency
Auxiliary single-point distance DM0301 Measurement direction; target conditions; I2C integration

Use these hardware routes to plan sensor placement, perception processing and control integration around your robot task.

Compare depth hardware

DMAS2M001 provides a 40 × 30 depth array at 10 fps, with a 0.2–8 m range at 30 klux and 10%–90% target reflectivity. See the robot and UAV evaluation guide for temporal sampling and integration questions.

USB RGB-D cameras provide VGA depth and color imaging for applications that require both streams. Plan calibration, frame timing and software integration around your robot host.

ToF camera modules include board-level MIPI options for an embedded host design. Evaluate the full processing pipeline, driver support and supply requirements alongside the optical specifications.

For a separate point measurement, review DM0301. A single-point device covers a different measurement task from an area depth camera.

Define a robot evaluation

Record the required near and far distances, smallest relevant object, mounting height and tilt, robot motion and allowable response time. Test the materials and lighting found at the intended site, including dark surfaces, reflective packaging, narrow targets and occlusion where applicable.

Measure object detection behavior, valid data coverage, measurement error and end-to-end latency separately. Define the system response to missing, delayed or low-confidence depth. Where the robot has safety-related requirements, evaluate the complete sensing and control architecture against those requirements.

FAQs

Which ToF camera is suitable for an AMR?

Select from a specific task and operating envelope. Area obstacle sensing, color-assisted perception and detailed docking geometry use resolution, frame timing and integration routes matched to the task.

How should I choose resolution for obstacle perception?

Match spatial sampling to the smallest relevant object and its distance from the camera. Include field of view, mounting and processing time to select a configuration for the required detection zone.

What should I provide for a camera recommendation?

Share the task, distance envelope, smallest target, speed, mounting location, lighting, host platform and acceptance criteria. Include representative scene images or object dimensions when available.

Discuss your robotics application with DOMI to define the candidate hardware and evaluation configuration.