How Connectivity Enables Humanoid Robotics

Source: DangThi/stock.adobe.com

Published October 14, 2026

Robots have become common tools across a wide range of applications, each designed to serve a specific purpose. While humanoid robots are unlikely to be mistaken for humans, they are designed to operate in environments built for people, requiring them to navigate spaces, manipulate objects, and perform tasks that are not always optimized for automation. To accomplish this, they integrate machine vision, sensing, artificial intelligence (AI), and precise motion control to interact safely and effectively with the world around them.

Bringing these capabilities together requires the integration of multiple technologies into a single moving machine. From high-speed sensor data and compute systems to motor drives and power distribution networks, each subsystem places different demands on the connectors and cables that support it. Designers must balance electrical performance with the space constraints and mechanical demands of a robot that must maintain reliable operation while in motion.

This blog examines how interconnects support the flow of data, signals, and power between the sensors, compute systems, motors, and power distribution networks that enable humanoid robots to operate in environments designed for people.

Perception

To navigate and interact safely with their surroundings, humanoid robots need to accurately perceive and interpret their environment. Cameras provide the visual information needed for navigation and object recognition, while proximity, force, torque, and other sensors help the robot build a detailed understanding of operating conditions and interactions with nearby objects.

The data generated by these systems places significant demands on the interconnects linking sensors to processing hardware. High-resolution machine-vision systems, in particular, can generate large volumes of data, making the interface essential to overall system performance. Connector selection is often influenced by the machine-vision protocol in use. For example, USB3 Vision is based on USB 3.x, while GigE Vision uses Ethernet connectivity. CoaXPress transmits high-speed image data over coaxial cable. Camera Link and Camera Link HS provide interfaces designed specifically for high-performance imaging applications, with copper and optical connectivity options.^[1] Other imaging systems may use Mobile Industry Processor Interface (MIPI) CSI-2 interfaces with flexible flat cables (FFC). Compact FFC/ flexible printed circuit (FPC) connectors are suitable for confined spaces such as a robot's head or torso. Some connectors feature a one-touch locking mechanism that provides secure cable retention.

Working in conjunction with the cameras, proximity, force, and torque sensors allow the robot to detect and measure its interactions with surrounding objects. Depending on the device, sensor outputs may be digital or analog and can have very different bandwidth requirements. As a result, connector selection should be based on each sensor's specific requirements rather than treating perception as a single network.

Once collected, this sensor and imaging data must be transmitted to the robot's compute systems and processed with minimal delay so the robot can respond effectively to changes in its environment.

Compute

Processing sensor and imaging data with minimal latency is essential for humanoid robots that operate alongside humans. Transmitting large volumes of data to remote computing resources can introduce delays and make operation dependent on external networks. Edge computing helps address these challenges by enabling time-critical decisions to be made using onboard processing hardware.

Supporting these internal data flows places significant demands on the robot’s connectivity infrastructure. As data rates increase, maintaining signal integrity becomes more challenging because connectors, PCB traces, and cable assemblies are all part of the signal path and collectively affect the performance of the entire channel.

These requirements are further complicated by the human-like form factors of humanoid robots. Unlike conventional industrial computers, components must fit within a compact, human-shaped structure that leaves little room for bulky connectors. Designers cannot simply increase the enclosure size to simplify packaging, and every additional component adds mass that the robot's actuators must move.

High-density connectors help support high data rates within the limited space available for the compute systems. Consequently, connector selection becomes a careful balance between electrical performance, mechanical packaging, and overall system design.

Actuation

Humanoid robots must translate computational decisions into physical motion. Electric motors throughout the robot drive joints and other mechanisms, forming a complex control system that continuously responds to sensor inputs.

Motor drivers and controllers provide the interface between the robot's computing system and its motors, which means they require connections for both control and power. Communication technologies such as SPI, EtherCAT, or RS-485 carry commands from the compute system, while separate power connections then deliver the energy required to drive the motors.

Controlling a humanoid joint involves more than simply commanding a motor to move. Motion occurs within a continuous feedback loop in which sensors monitor motor position, speed, and load, enabling the controller to compare expected and actual movement and make real-time adjustments.

To balance, manipulate objects, and navigate uneven terrain, humanoid robots must coordinate movements across multiple joints simultaneously. These tasks depend on reliable data transfer to support rapid feedback and precise motion control.

A single actuator assembly may require multiple connections for control signals, sensor feedback, and power within a limited space. Because connectors are often located near moving joints, they need to maintain reliable electrical and mechanical performance despite repeated motion and vibration. These demanding operating conditions require interconnect solutions that preserve signal integrity and electrical continuity while delivering long-term mechanical reliability throughout the robot's motion-control system.

Power

Power is distributed through the battery management system to the robot's compute, sensing, and motion-control subsystems. These connections must deliver the required current while minimizing resistance and heat generation. Because the motors that enable complex humanoid motion can place substantial demands on the power system, efficient power distribution is essential for maximizing operating time.

Power connectors must remain securely mated even under repeated movement and vibration, which place mechanical stress on cables and connectors. Increased contact resistance in high-current connections can generate excess heat and increase the risk of arcing. As a result, positive locking mechanisms are especially valuable in mobile robotic systems. Connectors such as Molex MiniCirc Circular Connectors combine a compact circular design with vibration resistance and provide tactile feedback when fully mated.

Humanoid Connectivity Solutions

From sensor networks to power delivery systems, no single interconnect architecture is optimal for every robotic system. Humanoid robots place diverse demands on their interconnect infrastructure, highlighting the need for application-specific connectivity solutions. Perception and compute systems require compact, high-speed data connections, while actuation systems combine control, feedback, and power delivery within tightly constrained spaces. Power distribution systems place additional emphasis on current-carrying capacity, connector retention, and mechanical durability. Meeting these varied requirements requires designers to balance electrical performance, mechanical reliability, and packaging constraints across the robot.

Drawing on decades of experience in automotive and industrial applications, Molex offers connectivity solutions designed to meet the challenges of humanoid robotics, including SlimStack connectors for compact perception systems, Mirror Mezz backplane connectors for high-speed compute, and physically secure Micro-Lock Plus connectors for actuators.^[2] Rather than relying on a single connectivity approach throughout the robot, designers can select interconnects tailored to the electrical, mechanical, and packaging requirements of each subsystem. This approach supports the reliable transfer of data, signals, and power throughout the robot.

Conclusion

Humanoid robots combine perception, compute, actuation, and power systems within a single moving platform. Reliable operation depends on interconnects that can support diverse signal, data, and power requirements while withstanding the space constraints and mechanical stresses inherent to humanoid robot designs. By matching connector and cable-assembly solutions to the specific needs of each subsystem, designers can help ensure reliable communication, control, and power delivery throughout the robot. As humanoid robots become more capable, interconnect selection will remain a foundational design consideration affecting performance, reliability and maintainability.

Sources

[1]https://www.automate.org/vision/vision-standards/vision-standards-additional-machine-vision-standards
[2]https://www.molex.com/en-us/industries-applications/humanoid-robotics/humanoid-robotics-connectors

Author

David Pike is well known across the interconnect industry for his passion and general geekiness. His online name is Connector Geek.