As Industry 4.0 continues to penetrate global manufacturing, mobile robots (AGVs/AMRs) have evolved from auxiliary production tools into core infrastructure for intelligent manufacturing and smart logistics. Industry data show that China's AGV/AMR market has experienced explosive growth in recent years, underpinned by a highly specialized and efficient supply chain covering "core components – vehicle manufacturing – system integration." This article focuses on four core links of that supply chain-laser sensing, navigation and control, servo drives, and power & charging-systematically analyzing their technical characteristics, performance indicators, and future innovation directions.
I. Laser Sensing Technology: 3D Vision Enabling Environmental Perception and Precise Operation of AGVs/AMRs
Laser sensing serves as the "visual organ" of a robot, and its technological maturity directly determines operational capability in complex and dynamic environments. The current mainstream route is based on 3D machine vision, combined with ToF (Time of Flight) and VSLAM (Visual Simultaneous Localization and Mapping) algorithms to achieve high-precision environmental perception.
(1) Core technical architecture and performance indicators
3D vision hardware technologies. Mainstream ToF cameras can be divided into pulsed-wave and continuous-wave solutions. Pulsed-wave systems typically provide high frame rates (some exceeding 100 fps), strong anti-interference capability, and high protection ratings (such as IP67), making them suitable for multi-robot collaboration and harsh industrial environments. Continuous-wave solutions, leveraging new-generation sensors and advanced modulation and demodulation technologies (such as dual-frequency modulation and HDR fusion), achieve higher resolution and lower depth-measurement error, in some cases within the millimeter range. Key performance requirements include strong resistance to ambient light, effective detection ranges from several meters to tens of meters, and high frame rates (generally not lower than 30 fps), in order to adapt to fast motion and changing illumination.
Algorithm fusion technologies. VSLAM algorithms construct maps and perform real-time localization by extracting natural feature points from the environment, achieving centimeter-level positioning accuracy. When combined with deep-learning-based 3D + AI recognition algorithms, the system can robustly and rapidly identify and locate objects such as pallets and totes, with high recognition success rates and fast response times, even under variations in size, pose, and stacking patterns.
(2) Typical application scenarios and technical implementation
In pallet localization and docking, 3D vision systems acquire the pallet's three-dimensional coordinates and compute the robot's optimal motion path, enabling docking with millimeter-level precision. In dynamic obstacle avoidance and path planning, the system generates real-time point clouds of the environment, classifies static and dynamic obstacles, and continuously adjusts the route with fast avoidance response. In addition, 3D vision is also used for autonomous charging, enabling precise and automatic alignment with charging interfaces.
Technology trends. Laser sensing is evolving toward higher resolution, higher frame rate, and lower power consumption. Multi-sensor fusion-combining LiDAR, 3D cameras, and infrared sensors-is increasingly adopted to enhance adaptability in complex environments. At the same time, high-resolution, high-frame-rate ToF cameras are entering large-scale mass production.
II. Navigation and Control Systems: The "Brain" and "Nervous System" of Autonomous Mobility
Navigation and control systems determine a robot's motion accuracy, planning efficiency, and operational reliability. Mainstream technologies include natural-feature navigation, visual SLAM, and laser SLAM, with core products covering controllers, navigation modules, and dedicated sensors.
(1) Core navigation principles and performance
Natural-feature navigation. This technology uses stable, inherent features in the environment-such as racks and columns-for localization and navigation, without the need for additional infrastructure. It offers flexible deployment and strong adaptability. Both positioning accuracy and repeatability can reach the centimeter level, supporting relatively high operating speeds and exhibiting strong robustness against environmental changes. It has been widely adopted across industrial scenarios.
Multimodal visual SLAM. By fusing monocular or binocular vision with IMU and other data sources, this approach performs mapping and localization through feature extraction and optimization algorithms. Advanced solutions can achieve centimeter-level positioning accuracy and maintain long-term stability in GPS-denied environments with minimal accumulated drift. Some cutting-edge systems integrate visual SLAM with AI-based grasping models, enabling unified intelligent control from navigation and localization to manipulation and execution.
(2) Control system hardware and software architecture
Controller hardware design. High-performance multicore processors (such as ARM Cortex-A series) are widely used, often combined with FPGA chips for real-time motion control. Multiple industrial communication protocols (CANopen, EtherCAT, etc.) are supported to flexibly connect drives and sensors. Short control cycles enable complex multi-axis motion control.
Software architecture. Typically based on a layered structure (perception, decision, execution), running on ROS or proprietary real-time operating systems to ensure efficient module coordination. Advanced functions include dynamic path planning (A*, D* Lite, etc.), multi-robot task scheduling, and cooperative collision avoidance, while cloud platforms enable fleet management, condition monitoring, and remote maintenance.
Bottlenecks and breakthroughs. The key challenge lies in maintaining robust localization in highly dynamic and unstructured environments. Breakthroughs are expected from AI-enhanced feature matching and data association, redundant multi-sensor architectures for higher fault tolerance, and improved suppression of noise and abnormal data.
III. Servo Drive Technology: The "Heart" and "Muscles" of Power Output
Servo drive systems convert electrical energy into precise mechanical motion, directly affecting speed, payload, accuracy, and energy efficiency.
(1) Core components and design features
Servo motor technology. Mainstream solutions use brushless DC servo motors or highly integrated in-wheel servo motors, covering a wide power range and offering high power density and high efficiency (often above 90%). Integrated high-resolution encoders, such as multi-turn absolute encoders, enable full closed-loop control of position, speed, and torque. In-wheel integrated designs combine the motor, gearbox, and brake within the wheel, providing compact structure and high transmission efficiency.
Gearbox technology. Precision planetary gearboxes and harmonic drives are widely used, featuring high reduction ratios, low backlash, high torque output, and long service life. Continuous improvements in tooth profile design, materials, and precision manufacturing enhance smoothness and load capacity.
AGV drive wheel systems. As highly integrated modules combining driving, steering, and braking, these units support omnidirectional motion with high steering accuracy. They provide high load capacity and travel speed, while integrating speed monitoring, angle closed-loop control, and safety braking functions, making them key components for unmanned forklifts and heavy-duty AGVs.
(2) Servo drive control technologies
Vector control enables decoupling of torque and magnetic flux, delivering fast dynamic response and smooth torque output. Regenerative braking feeds kinetic energy back into the battery during deceleration or downhill operation, improving energy utilization and extending driving range.
Technology evolution. Systems are moving toward higher integration, smaller size, and higher energy efficiency. For example, integrating the servo drive with the motor significantly reduces volume and improves system reliability. At the same time, Ethernet-based real-time industrial buses such as EtherCAT are becoming increasingly common to achieve high-precision multi-axis synchronous control.
IV. Power and Charging Technology: The "Energy Source" for Continuous Operation
Stable and efficient energy supply is the foundation of continuous AGV/AMR operation. Key technologies include lithium battery systems, intelligent charging, and wireless charging.
(1) Core lithium battery technologies and performance
Cell and pack design. Ternary lithium and lithium iron phosphate batteries are widely used, offering increasing energy density and long cycle life (often several thousand cycles). Battery packs adopt modular designs with flexible voltage and capacity configurations, and high protection ratings such as IP67 to meet industrial requirements.
Battery Management Systems (BMS). Acting as the "brain" of the battery system, the BMS precisely monitors voltage, current, temperature, SOC (State of Charge), and SOH (State of Health). It provides cell balancing and multiple safety protections. Advanced cloud-based BMS solutions enable full-lifecycle data management, using big-data analytics to optimize charging and discharging strategies, predict failures, and extend battery life.
(2) Charging technologies and performance
Wired charging. Fast-charging solutions use high-performance connectors with high current capacity and long insertion life, supporting rapid energy replenishment. Intelligent chargers provide adaptive output, soft start, comprehensive protection, and fault diagnostics.
Wireless charging. Based on electromagnetic induction or magnetic resonance, wireless charging enables contactless automatic charging. Transmission power, efficiency, and effective distance continue to improve. The "stop-and-charge" convenience is especially suitable for automatic top-up during operational intervals, significantly increasing equipment utilization.
Technology trends. Power systems are pursuing higher energy density, faster charging, and longer cycle life. Solid-state batteries and sodium-ion batteries are at the frontier of R&D. Wireless charging is moving toward higher efficiency, higher power, and greater intelligence, with the potential to deliver seamless and efficient energy supply in the future.
Conclusion: Supply-Chain Synergy Driving Industrial Upgrading
The high performance and reliability of AGVs/AMRs depend on the close coordination and synchronized evolution of core supply-chain elements-laser sensing, navigation and control, servo drives, and power and charging. Across all domains, technologies are advancing along the path of higher precision, higher integration, greater reliability, and lower energy consumption, while cross-domain integration-such as perception-control fusion, mechatronics, and cloud-edge-device collaboration-has become a key driver of innovation.
For industry practitioners, a deep understanding of the technical foundations and development trajectory of this sophisticated supply chain is essential for sound component selection, product optimization, and forward-looking strategic planning. Looking ahead, driven by policy, technology, and market forces, an open, collaborative, and resilient high-end supply chain will become the central pillar supporting the AGV/AMR industry's expansion into broader applications and higher value creation.
