Application of high-speed data transmission line in service robots

Service robots cover multiple fields such as home, healthcare, retail, and hotels, and their core requirements lie in real-time interaction, precise operation, and environmental adaptability. As a "neural network" connecting sensors, processors, and actuators, high-speed data transmission lines directly affect the response speed, reliability, and intelligence level of robots. The following are its specific applications and 

solutions: 

1. Application scenarios and core requirements

Typical scenario:

Home service robot: Real time processing of visual navigation, voice interaction, environmental monitoring (temperature and humidity, safety alarms) and other data.

Medical robots: transmit high-definition images (such as 4K endoscopic videos) and force feedback signals during surgical operations, with a delay of less than 1ms.

Retail/hotel robots: multi machine collaborative delivery, customer identification, encrypted transmission of payment information.

Education/Companion Robots: Real time video calls, emotion recognition, and dynamic content updates.

Key requirements:

Bandwidth: The fusion data volume of a single robot sensor can reach 1-3Gbps (such as binocular camera+LiDAR+microphone array).

Delay: The transmission of human-machine interaction instructions should be less than 20ms, and surgical control should be less than 1ms.

Reliability: Suitable for frequent movement, bending (such as wiring of robotic arm joints), and electromagnetic interference (in medical equipment environments).

2、 Technical solutions

1. Transmission medium and interface design

Technological advantages applicable scenarios

Flexible optical fibers (such as anti bending fibers) with ultra-high bandwidth (10-100Gbps), anti bending (bending radius<3cm), robotic arm joints, and mobile chassis wiring

High speed copper cable (USB4/PCIe) for short distance and low cost (40Gbps), supporting direct connection between plug and play onboard computing units and sensor modules

Wireless assistance (Wi Fi 6E/5G) supplements mobility flexibility for temporary communication and remote monitoring of non critical data transmission

Interface selection:

IP68 waterproof connector: suitable for medical scenarios with frequent cleaning and disinfection.

Magnetic quick release interface: Home robots are easy for users to maintain independently (such as charging contacts for sweeping robots).

2. Hybrid architecture design

Main link: The robot constructs a backbone network internally through flexible optical fibers and high-speed copper cables to ensure the transmission of core data.

Backup link: Transmit status logs or non real time data (such as software updates) through 5G/Wi Fi 6E.

case

Da Vinci surgical robot: uses fiber optic transmission for 4K 3D images and copper cable transmission for robotic arm control signals, with a delay of less than 0.5ms.

3. Data Protocol and Processing Optimization

Real time guarantee:

TSN (Time Sensitive Network): Unify scheduling control instructions and sensor data to achieve microsecond level synchronization.

ROS 2 DDS protocol: optimizing data distribution efficiency within robot operating systems.

Bandwidth savings:

AI compression technology: using neural networks to compress video streams (such as JPEG XS), reducing volume by 50% while preserving key details.

Semantic communication: only transmitting key semantic information (such as "detected obstacles" rather than raw point cloud data).

3、 Key points of hardware implementation

Cable and mechanical structure adaptation:

Dynamic wiring: using spiral cables or drag chain systems to adapt to frequent bending of robot joints (such as robotic arms rotating more than 100000 times).

Lightweight design: using ultra-fine optical fibers (diameter<0.9mm) and aluminum alloy joints to reduce robot load.

Edge computing integration:

Real time processing of voice commands (noise reduction, semantic understanding), transmitting only text results.

Preprocess visual data (such as facial blurring) to meet privacy protection requirements.

Deploying AI acceleration chips on the robot side (such as Qualcomm RB5 platform):

4、 Typical application cases

1. Household cleaning robots (such as iRobot)

Requirement: Real time construction of home maps (SLAM), obstacle avoidance, and remote control.

Plan:

Internal bus: USB 3.2 Gen 2 (10Gbps) connects the LiDAR to the main control board.

Wireless backup: Upload cleaning logs to the mobile app via Wi Fi 6.

Effect: Map update delay<100ms, reduced failure rate by 30%.

2. Medical endoscopic robot

Challenge: 4K image transmission requires low latency and no compression to ensure surgical accuracy.

Plan:

Fiber optic direct connection: Transmitting lossless images through single-mode fiber optic (12G-SDI protocol).

Dual redundant link: automatically switches to copper cable (HDBaseT technology) when the main link fails.

Effect: Image delay<0.3ms, supports 8-hour continuous surgery.

5、 Reliability Enhancement and Maintenance

Redundant design:

Dual power supply+dual data channels: Medical robots are powered by both PoE and batteries, with fiber optic/5G dual backup data links.

Intelligent monitoring:

Cable health sensor: detects the number of bends, temperature, and warns of potential fracture risks (such as through FBG fiber Bragg grating).

Self healing network: AI dynamically allocates bandwidth and prioritizes critical tasks (such as emergency obstacle avoidance instructions).

6、 Future Trends

Optoelectronic fusion miniaturization:

Onboard optical engine: Integrating optical modules into robot PCBs to reduce volume (such as silicon optical technology).

6G+AI collaboration:

6G network supports sub millisecond wireless transmission, replacing some wired connections and enhancing mobility.

Biocompatible materials:

The medical robot cable adopts antibacterial coating to avoid the risk of hospital infection.


High speed data transmission lines are not only "information vessels" in service robots, but also the cornerstone of intelligent implementation. Through the combination of flexible optical fiber+edge computing+semantic communication, bandwidth, delay and cost can be balanced to achieve full scene coverage from home to operating room. In the future, with the further miniaturization of optoelectronic technology and the commercialization of 6G, service robots will become more flexible and intelligent, truly becoming human "intelligent partners".