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Building high performance robotic vision and related solutions with GMSL

Robotics17 Apr 2026
A modern agricultural robot navigates between rows of lush green plants inside a greenhouse. The robot is equipped with wheels and visible wiring, designed for automated crop management. The scene is brightly lit with natural sunlight, highlighting the advanced technology and healthy vegetation. No visible text or numeric values are present on the robot or in the environment.
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Robotic systems increasingly rely on vision to perceive and interact with their environment, creating growing demands for high-speed, low-latency data links. Gigabit Multimedia Serial Link (GMSLTM) offers a promising solution by transmitting video, control signals, and power over a single cable with high reliability. This article examines how cameras are deployed in robotics and illustrates how GMSL enables scalable, robust, and high-performance robotic platforms, along with relevant solutions introduced by ADI.

Machine vision enhances robotic systems' environmental perception

Robotic systems increasingly depend on advanced machine vision to perceive, navigate, and interact with their surroundings. As both the number and resolution of cameras continue to increase, the demand for high-speed, low-latency links capable of transmitting and aggregating real-time video data has never been greater.
 
Gigabit Multimedia Serial Link (GMSLTM), originally developed for automotive applications, is emerging as a powerful and efficient solution for robotic systems. GMSL transmits high-speed video data, bidirectional control signals, and power over a single cable, offering extended transmission distances, deterministic microsecond-level latency, and an extremely low bit error rate (BER). It simplifies wiring harnesses and reduces overall solution footprint, making it ideal for vision-centric robots operating in dynamic and often harsh environments.
 
As core components of modern robotic perception systems, cameras empower machines to understand and respond to their environment in real time. Whether it's a warehouse robot navigating aisles, a robotic arm sorting packages, or a service robot interacting with humans, vision systems are critical for autonomy, automation, and human-robot interaction. Cameras are not only diverse in function but also vary in form factor. Depending on the task, cameras are mounted on different parts of the robot and must be customized to accommodate the physical and operational constraints of the platform.
 
In autonomous robotics, cameras serve as the machine's "eyes," enabling them to perceive their surroundings, avoid obstacles, and determine their location within an environment. For mobile robots - such as delivery robots, warehouse shuttles, or agricultural rovers - multiple wide field-of-view cameras are typically placed at the corners or edges of the robot. These surround-view systems provide 360° awareness, helping robots navigate complex spaces without collisions. Other autonomy-related applications use downward or upward-facing cameras to read fiducial markers on floors, ceilings, or walls. In more advanced systems, stereo vision cameras or time-of-flight (ToF) cameras are positioned on the robot's front or sides to generate three-dimensional maps, estimate distances, and assist with simultaneous localization and mapping (SLAM).
 
In industrial automation, vision systems help robots perform repetitive or precision tasks with speed and consistency. In such applications, cameras may be mounted on robotic arms - close to grippers or end-effectors - enabling the system to visually inspect, locate, and manipulate objects with high accuracy. This is particularly crucial for pick-and-place operations, where accurately identifying the position and orientation of a part or package is essential. In warehouse environments, mobile robots use forward-facing cameras to detect shelf labels, signage, or QR codes, enabling dynamic task assignments or route adjustments. Certain inspection robots, especially those used in infrastructure, utilities, or heavy industry, feature zoom-capable cameras mounted on masts or articulated arms. Through these cameras, robots can capture high-resolution images of weld seams, cable trays, or pipe joints - tasks that would be dangerous or time-consuming for humans to perform manually.
 
Cameras also play a central role in human-robot interaction. In collaborative manufacturing, healthcare, or service industries, robots need to understand gestures, recognize faces, and maintain a sense of social presence. Vision systems make this possible. These cameras help robots interpret facial expressions, maintain eye contact, or follow a person's gaze. In collaborative robot (cobot) scenarios where humans and machines work side by side, machine vision ensures operational safety and enhances responsiveness. Even in teleoperated or semi-autonomous systems, machine vision remains essential. Front-mounted cameras stream live video to remote operators, enabling real-time control or inspection. These video feeds can be overlaid with augmented reality information to assist with remote diagnosis or training tasks.

This diagram illustrates the integration of various automotive sensors, including radar, RGB cameras, depth cameras, and 3D LIDAR, through GMSL deserializers. The sensors connect to different system-on-chip modules for autonomous, automation, human interaction, and functional safety replication tasks. The visual layout uses blue and green blocks with clear labels for each sensor and module, emphasizing connectivity and data flow.

Vision challenges in robotics and corresponding solutions

As vision systems become the backbone of robotic intelligence, opportunities and complexities grow simultaneously. High-performance cameras unlock powerful capabilities - including real-time perception, precise manipulation, and safer human interaction - but also place increasing demands on system architecture. The challenge extends beyond efficiently transmitting large volumes of video data. Today, many robots must make split-second decisions based on multimodal sensor inputs. Simultaneously, they must operate within tight mechanical envelopes, manage power consumption effectively, avoid electromagnetic interference (EMI), and maintain strict functional safety in proximity to humans.
 
The environments in which robots operate further compound these challenges. Warehouse robots may frequently move in and out of freezers, enduring dramatic temperature fluctuations and condensation. Agricultural rovers may traverse unpaved fields, continuously experiencing vibration and mechanical shock. Service robots in hospitals or public spaces may encounter unfamiliar, visually complex environments where they must quickly adapt to navigate safely around people and obstacles.
 
GMSL offers various features to address vision-related challenges in robotics. Notably, GMSL provides high data rates and low latency. The GMSL2TM and GMSL3TM product families support forward-channel (video path) data rates of 3 Gbps, 6 Gbps, and 12 Gbps, covering the vast majority of robotic vision applications. These flexible link rates enable system designers to optimize for resolution, frame rate, sensor type, and processing requirements.
 
GMSL employs frequency-domain duplexing to separate forward (video and control) and reverse (control) channels, enabling deterministic low-latency bidirectional communication while eliminating data collision risks. Furthermore, one of GMSL's core value propositions lies in its ability to simplify cable and connector infrastructure. GMSL itself is a full-duplex link, and most GMSL cameras utilize power-over-coax (PoC) technology, transmitting video data, bidirectional control signals, and power over a single thin coaxial cable. This significantly simplifies wiring, substantially reduces overall cable harness weight and volume, and facilitates mechanical routing in compact or articulated robotic platforms.

This diagram illustrates the integration of a CMOS image sensor with the MAX96717 chip. The layout shows connections to nonvolatile memory, power management IC, and a PoC filter, with visible signal paths such as MIPI CSI-2, I2C, FSYNC/RST/PWDN, and MCLK. The image sensor is depicted with a colorful gradient, and all components are labeled with clear text. Numeric values like MAX96717 are explicitly shown.

Automotive-grade GMSL solutions proven in safety, reliability, and robustness

Originally developed for automotive advanced driver assistance systems (ADAS) applications, GMSL has been field-proven in environments where safety, reliability, and robustness are non-negotiable. Robotic systems, particularly those operating around humans or performing mission-critical industrial tasks, can significantly benefit from these same high standards.
 
Most GMSL serializers and deserializers are qualified to operate reliably across a -40°C to +105°C temperature range and feature built-in adaptive equalization that continuously monitors and adjusts transceiver settings in response to environmental changes. This provides system architects with the flexibility to design robots that function reliably under extreme or fluctuating temperature conditions.
 
Additionally, most GMSL devices comply with ASIL-B standards and exhibit extremely low bit error rates (BER). Under compliant link conditions, GMSL2 achieves a typical BER of 10-15, while GMSL3, with its mandatory forward error correction (FEC), can reach a BER as low as 10-30. This exceptional data integrity, combined with safety certifications, greatly simplifies system-level functional safety integration. Leveraging its superior robustness, GMSL reduces downtime, lowers maintenance costs, and enhances confidence in long-term system reliability - critical advantages for both industrial and service robotics deployments.
 
Thanks to years of high-volume deployment in automotive systems, GMSL has developed a highly mature ecosystem supported by numerous global partners. This includes comprehensive solutions encompassing evaluation and production-ready cameras, computing boards, cables, connectors, and software/driver support - all tested and validated under stringent real-world conditions. For robotics developers, leveraging this mature ecosystem shortens development cycles, simplifies system integration, and lowers the barrier from prototype to mass production.

Block diagram shows four MAX96717 Serializer units connected to a MAX96724 Deserializer. The deserializer outputs to a System on a Chip (SOC) via D-PHY v1.2 or C-PHY v1.0 interfaces. Ports are labeled SIOA, SIOB, SIOC, and SIOD, with clear text indicating component names and interface versions.

Cost-effective, simple, and scalable GMSL technology solutions

ADI's GMSLTM solutions offer a cost-effective, simple, and scalable SerDes technology that elevates high-speed video links to new performance levels. It provides reliable transmission of high-resolution digital video for camera and display-based applications, including autonomy, infotainment, safety, and monitoring. Currently, over 25 automotive manufacturers have deployed millions of GMSL links on roads worldwide, and ADI's solutions support emerging applications across industrial, consumer, healthcare, aerospace, and instrumentation markets.
 
ADI's GMSL solutions ensure backward compatibility between successive GMSL generations, simplifying the transition from one generation to the next, while delivering industry-leading performance. For instance, ADI GaN power amplifiers meet demanding sensing, amplification, and communication requirements. Comprehensive design support accelerates time-to-market. The ability to transmit multiple video signals over a single cable helps customers achieve differentiated systems while improving system efficiency by reducing weight, cost, power consumption, and complexity. All while complying with ASIL standards and incorporating adaptive equalization capabilities.
 
Taking ADI's MAX96717 CSI-2 to GMSL2 serializer as an example, the MAX96717 receives video on a MIPI CSI-2 interface and outputs it on a GMSL2 serial link transceiver. Simultaneously, it sends and receives bidirectional control channel data across the same GMSL2 link. GMSL2 data can be transported over coaxial or shielded twisted pair (STP) cables. It operates at fixed forward rates of 3 Gbps or 6 Gbps, with a reverse channel rate of 187.5 Mbps. The device is programmed through a local I2C/UART interface or across the link from a matching deserializer. The MAX96717 includes two I2C/UART pass-through channels, flexible GPIO, an SPI tunnel, a built-in ADC, temperature sensor, and comprehensive functional safety diagnostics. The device is specified over the automotive temperature range of -40°C to +105°C and is AEC-Q100 Grade 2 qualified. Data for the MAX96717 GMSLTM serializer can be transmitted over low-cost 50Ω coaxial or 100Ω STP cables that meet GMSL2 channel specifications.
 
The MAX96717 GMSLTM serializer is suitable for applications including advanced driver assistance systems (ADAS), 8MP 40fps forward-vision camera (FVC) systems, surround view systems (SVS), driver monitoring systems (DMS), rear-view cameras (RVC), and systems with multiple synchronized cameras.

Conclusion

As robotic applications increasingly penetrate more demanding environments while diversifying in use cases, vision systems must continuously evolve to support higher sensor counts, greater bandwidth, and deterministic performance. Although traditional connectivity solutions remain important during development and for certain deployment scenarios, their limitations in latency, synchronization, and system integration constrain scalability. GMSL, with its high data rates, extended transmission distances, integrated power delivery, and bidirectional deterministic low-latency capabilities, establishes a solid foundation for building scalable robotic vision systems. By adopting ADI's GMSL solutions, designers can effectively shorten the journey from prototype to mass production, delivering smarter and more reliable robots ready to tackle diverse real-world application challenges.

Article Tags

Global
Robotics
Internet of Things (IoT)
Artificial Intelligence (AI)
Machine Learning

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