Who should use this
AMR, warehouse, inspection, security, humanoid, service robot and embodied AI teams defining LiDAR, camera, radar, ToF or depth-sensor stacks.
Sensing, Vision & Data Capture
Prepare sensor, mounting, field-of-view, interface, bandwidth, host compute and controlled documentation inputs for robot sensing reviews.
AMR, warehouse, inspection, security, humanoid, service robot and embodied AI teams defining LiDAR, camera, radar, ToF or depth-sensor stacks.
The guide captures the physical, electrical and data-interface decisions needed before sensor sourcing, harness review or host integration RFQ.
Bring sensor types and count, mounting positions, field of view, camera frame rate and resolution, interfaces, bandwidth, host platform, sync requirements and SDK or driver records.
When to use this guide
Key engineering decisions
Record sensor count, mounting position, field of view, mechanical envelope and alignment references for each sensing role.
Separate GMSL2 / FAKRA, Ethernet, USB, CAN and RS485 channels and estimate data rate from frame rate, resolution or point-cloud rate.
Capture hardware trigger, sync, PTP or timestamping requirements only when supplied by the customer and relevant to stream alignment.
Identify host compute, available ports, power rails, SDK, driver and calibration documentation before requesting interface files.
RFQ preparation checklist
Engineering file considerations
Not covered by this guide
Use the guide checklist to submit one RFQ with product, file and subsystem context. Controlled access may apply to STEP/STP, native CAD, full drawings and supplier-sensitive records.