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Solution

LiDAR application solution for smart logistics and last-mile delivery

Provide short-to-medium-range distance input for logistics and delivery robots to support aisle sensing, approach decisions, slowdown, and stopping.

Last-mile delivery robot operating on a campus route

Scenario

Application scenario

Smart logistics spans indoor aisles and outdoor last-mile routes. Targets, weather, lighting, speed, and installation space differ, so products and control limits must be selected and validated by task.

Engineering problem

  • Warehouse racks and pallets differ from outdoor pedestrians and vehicles.
  • Rain, fog, sunlight, and road reflections need separate outdoor validation.
  • Docking range, obstacle detection, and navigation serve different functions.

Why LiDAR

LiDAR provides direct distance for approach, slowdown, and stop decisions; path planning and scene understanding remain robot-system functions.

Workflow

  1. Split the route into aisle travel, loading approach, and outdoor delivery tasks.
  2. Select products by maximum distance, targets, environment, and mounting space.
  3. Integrate distance and status into task-level controller rules.
  4. Accept the system on real routes and worst expected conditions.

Technology comparison and selection

DimensionConditionLiDARAlternativeAlternative performanceConclusion
Short-to-medium-range approach and obstacle distanceRoutes include multiple distance zones and indoor/outdoor environments.Provides direct distance for approach, slowdown, and stop rules by task.Camera or ultrasonicCameras add semantics; ultrasonic can support selected near-field presence tasks.

Combine sensors by task. Use LiDAR for distance input, not as a replacement for navigation and recognition.

Customer-confirmed scope, legacy robot content, and current TF-Luna/TF02-Pro applications.公开来源 · Verified 2026-08-20

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Installation and integration

  • Choose forward or lateral mounting from the route and chassis, verify enclosure, payload, and steering do not occlude the beam, and integrate status with distance.

    TF-Luna / TF02-Pro · Logistics robot controller · Target controller configuration and current product manuals公开来源 · Verified 2026-08-20

Operating limits

  • Rain, fog, direct light, dark targets, and road reflections change usable range; do not use one lab range as the control limit for the whole route.

    TF-Luna / TF02-Pro公开来源 · Verified 2026-08-20

FAQ

Frequently asked questions

Should a smart-logistics system start with short-range or medium-range LiDAR?

Start from the task. Docking, triggers, and tight mounting often favor short range; outdoor delivery or earlier slowdown may need longer range. Validate targets, weather, light, speed, and space.

Resources

Resources and references

Confirm the selection with real mission conditions

Share the operating height, target surface, environment, mounting space, and flight-stack version. Our engineering team can help plan selection and validation.

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