company blog about Supply Livox MID-360 Laser Detection and Ranging System for Service Robots

Supply Livox MID-360 Laser Detection and Ranging System for Service Robots

Shenzhen Mingjiada Electronics Co., Ltd. is a renowned distributor of electronic components, supplying the MID-360 3D LiDAR detection and ranging system for service robots.

The MID-360 represents a new generation of 3D LiDAR detection and ranging systems, pioneering hybrid solid-state LiDAR technology to achieve 360° spatial awareness. Its compact design supports flexible installation configurations while meeting the enhanced perception requirements for navigation and obstacle avoidance in both indoor and outdoor environments for mobile robots.

I. Product Positioning: Redefining Perception Standards for Service Robots

The MID-360 3D LiDAR is Livox's next-generation hybrid solid-state LiDAR solution for the intelligent mobile robotics market, specifically engineered to address core requirements such as navigation, obstacle avoidance, and mapping in complex indoor and outdoor scenarios. Unlike the cumbersome design of traditional mechanical LiDARs and the two-dimensional perception limitations of single-line LiDARs, the MID-360 centres on ‘omnidirectional coverage, zero-blind-spot close-range detection, and stable anti-interference performance’. Through innovative hybrid solid-state technology, it achieves a perfect balance of performance and practicality. This positions it as the pivotal perception component enabling service robots to transition from merely “functioning” to ‘operating with intelligence’, making it widely compatible with diverse service devices including cleaning robots, delivery robots, and inspection robots.

II. Core Performance: Three-Dimensional Breakthrough, Unlocking New Heights in Perception

1. 360° Omnidirectional Field of View, Dead-Angle-Free Environmental Awareness

Employing proprietary hybrid solid-state scanning technology, the MID-360 achieves an ultra-wide coverage range of 360° horizontal field of view + 59° vertical field of view. Compared to the limited field of view of traditional LiDAR, a single unit suffices to perform comprehensive 3D scanning of the robot's surrounding space. This omnidirectional perception capability enables service robots to precisely capture environmental information in all directions—front, rear, left, right, above, and below—without requiring additional sensors. Whether detecting indoor pillars in corridors, minute floor obstacles, or outdoor features like steps and low-hanging objects, real-time detection provides comprehensive data support for path planning and safe obstacle avoidance. With a point frequency of 200,000 points per second, it rapidly generates high-density 3D point cloud maps, ensuring real-time robotic response to dynamic environments.

2. Ultra-compact 10cm blind zone eliminates shortcomings in close-range perception

Addressing service robots' requirements for narrow-space operation and close-range interaction, the MID-360 reduces its minimum detection blind zone to 10cm, overcoming the traditional ‘close-range blindness’ technical limitation of laser radars. Within the extremely close range of 0.1 to 0.2 metres, while accuracy is for reference only, it still outputs effective point cloud data. This enables robots to perceive objects in close proximity to their bodies—for instance, cleaning robots can precisely navigate corners and table/chair legs for thorough, dead-angle-free cleaning, while delivery robots can nimbly avoid pedestrians and obstacles in crowded environments, even achieving close-range object recognition and grasping assistance. With its compact chassis design (65×65×60mm), the MID-360 supports embedded installation, further reducing physical blind spots and enhancing the robot's aesthetic integration.

3. Active Anti-Interference + All-Weather Adaptability for Stable Operation in Complex Environments

Equipped with active anti-interference technology, the MID-360 effectively mitigates signal crosstalk when multiple LiDAR units operate concurrently. This ensures pure and stable point cloud data even in scenarios where numerous service robots collaborate, such as shopping centres or warehouses. Simultaneously, the product demonstrates exceptional environmental adaptability: it accurately captures environmental feature points in low-light conditions like dimly lit indoor corridors or underground car parks; Outdoors under intense sunlight, performance remains unaffected with a maximum detection range of 70 metres (80% reflectivity). Even when encountering low-reflectivity objects (e.g., dark road surfaces, black plastic components) with reflectivity as low as 10%, detection distance still reaches 40 metres. Furthermore, the product has undergone rigorous reliability testing, featuring dustproof, waterproof, and vibration-resistant properties to withstand indoor-outdoor temperature variations and complex operational conditions.

4. High-Precision Ranging for More Reliable Data Output

The MID-360 achieves industry-leading ranging accuracy, delivering stable distance measurements within its effective detection range to provide precise data for robotic positioning and mapping. When integrated with SLAM algorithms, robots can rapidly complete environmental modelling and autonomous positioning without relying on pre-installed navigation markers, significantly reducing deployment costs and environmental modification requirements. Compared to visual sensors like depth cameras, LiDAR's distance data remains unaffected by lighting conditions or colour variations. It reliably outputs distance information even when encountering non-textured surfaces (such as white walls or smooth metal), ensuring the robustness of perception systems.

III. Technological Innovation: Hybrid Solid-State Architecture Balancing Performance and Cost

The MID-360's core advantage stems from the mature application of hybrid solid-state LiDAR technology. Addressing the high power consumption and bulkiness of purely mechanical LiDARs, alongside the elevated costs of fully solid-state variants, its hybrid solid-state architecture achieves a triple breakthrough: high performance, compact size, and low power consumption through optimised optical design and scanning mechanisms. Weighing merely 265 grams, its power consumption remains within reasonable limits, causing no significant impact on service robots' operational endurance. Its compact dimensions enable seamless integration within robotic chassis, eliminating external sensors that could impede movement while enhancing aesthetic appeal and durability. This technical architecture renders high-precision 3D LiDAR no longer exclusive to premium robots. Priced at a consumer-friendly ¥3,999, it drives widespread adoption across mid-to-low-end service robot markets.

IV. Application Scenarios: The “Perceptive Vision” for All Service Robot Categories

1. Indoor Service Robots: Enhancing Intelligence and Operational Efficiency

Cleaning Robots: 360° omnidirectional perception + 10cm blind spot enables precise cleaning in corners, under furniture, and other hard-to-reach areas, preventing missed debris. Autonomous path planning via 3D mapping eliminates manual intervention, boosting cleaning efficiency.

Delivery Robots (Hotels / Restaurants / Office Buildings): Navigate crowded corridors and lift entrances with active anti-interference technology and dynamic obstacle avoidance, precisely delivering meals and documents to designated locations. Close-range perception enables docking at targets like lift doors and desks.

Inspection Robots (Server Rooms / Warehouses): Omnidirectional vision captures equipment status and environmental anomalies (e.g., leaks, debris accumulation). Extended detection range covers large areas, while high-precision ranging enables equipment positioning and accurate marking of abnormal points.

2. Outdoor Service Robots: Expanding Application Boundaries

Outdoor Cleaning Robots (Campus/Street): Resistant to harsh conditions like intense sunlight, rain, and fog; accurately identifies road debris, manhole covers, steps, and other obstacles to prevent collisions or falls during operation; omnidirectional perception handles dynamic interference from pedestrians and vehicles.

Mobile Retail Robots (Scenic Areas / Commercial Districts): Navigate autonomously in open environments, performing real-time avoidance of tourists and moving vehicles. Close-range perception facilitates customer interaction (e.g., detecting customer approach and proactively displaying merchandise).

Agricultural Service Robots: Detect crop height and row spacing in farmland environments while avoiding obstacles like stones and irrigation equipment, providing spatial awareness support for precision spraying, harvesting, and other tasks.

V. Industry Value: Empowering Service Robot Industry Upgrades

The launch of MID-360 not only resolves the pain points of traditional service robots – incomplete perception, proximity blind spots, and weak disturbance resistance – but also lowers the application threshold for high-precision LiDAR through technological optimisation. Amidst the robotics industry's shift towards ‘intelligence, autonomy, and scalability,’ the MID-360 achieves omnidirectional perception with a single sensor, reducing hardware configuration costs and algorithmic complexity for manufacturers to rapidly deploy high-performance products. Its compatibility across indoor and outdoor scenarios breaks the ‘indoor confinement’ of service robots, extending applications from enclosed spaces like hotels and offices to open environments such as campuses and streets.

From an industry perspective, the MID-360's technical approach validates LiDAR's pivotal role in service robotics: compared to visual sensors, LiDAR offers superior environmental adaptability and data reliability; versus millimetre-wave radar, it delivers enhanced ranging accuracy and spatial resolution. As hybrid solid-state technology continues to mature, cost-effective products like the MID-360 will accelerate the adoption of service robots, delivering more efficient and secure intelligent service experiences across smart logistics, smart campuses, and smart homes.