Portable networks are liberating robotic operations

Advanced robotics has always been a game of connectivity. Robotic systems demand near-instantaneous communication for real-time control, high-bandwidth connections for sensor data transmission, and ultra-reliable connectivity where even brief signal interruptions can derail entire operations. This technical dependency has largely kept sophisticated robotics tethered to locations with permanent 5G infrastructure – until now.

Historically, robotic systems have been limited to urban areas, established industrial sites, and locations where substantial telecommunications investment could be justified. Remote farms, disaster zones, temporary construction sites, and rural emergency services have been effectively excluded from accessing advanced robotic capabilities – not because the robotics technology wasn’t available, but because the underlying infrastructure wasn’t there to support it.

The infrastructure investment required often exceeded the value proposition of the robotics themselves. A precision farming operation in rural Scotland or an emergency response capability in a remote area faced the same connectivity infrastructure costs as major urban deployments, making advanced robotics economically unviable for many applications.

The breakthrough comes from recognising that networks don’t have to be permanent to be powerful. BAM Nuttall’s recent construction project in Shetland demonstrates this perfectly. It has deployed a private 5G network across more than 55,000 square meters of remote terrain, enabling Boston Dynamics’ Spot robot with laser scanning equipment to operate under full remote control from hundreds of miles away.

Engineers at the Heriot-Watt University’s National Robotarium are taking this remote-controlled data scanning to the next level, developing VR interfaces where operators wear headsets to see through the robot’s multiple camera feeds while using voice commands and direct interaction with visualised data streams to control operations more intuitively than traditional remote control methods allow.

This approach solves fundamental technical challenges that have frustrated robotics engineers for years. Edge computing processes data locally rather than requiring transmission to distant servers, slashing both latency and bandwidth requirements. Private network architecture provides security advantages while ensuring operational data stays within controlled boundaries. Network slicing allows different classes of traffic to be processed with distinct performance characteristics, supporting multiple robotic applications simultaneously.

The deployment model flips traditional infrastructure thinking. Instead of requiring massive infrastructure investment before deploying a single robot, organisations can establish project-specific networks that provide both connectivity and automation capabilities as coordinated services.

Current deployments across multiple sectors prove this approach works. At the Port of Rotterdam, container terminals operate autonomous vehicles using private networks to transport containers from ships to storage areas. In the past, when Wi-Fi connectivity failed and these vehicles stopped dead, downtime costs could reach up to €100,000 per hour – private networks solved this reliability problem.

Medical applications push these requirements even further. KUKA operates tele-manipulation systems for ultrasound examination that transmit haptic feedback over 5G connections, allowing clinical experts to feel forces applied to remote transducers while viewing live imaging data. This field is advancing rapidly, with companies like Touchlab developing sophisticated electronic skin technology that enables robotic systems to transmit not just visual and audio information, but actual tactile sensations. Their e-skin technology uses ultra-thin sensors to relay pressure, vibration, and motion in real-time, allowing operators to truly “feel” through robotic systems – capabilities that extend beyond healthcare into hazardous industrial environments where human touch traditionally carried significant risk.

Agricultural applications present other technical challenges. Precision farming systems need reliable connectivity across vast outdoor areas where Wi-Fi coverage would require access points every 30 metres. Private 5G networks provide robust coverage with fewer base stations, supporting autonomous robots for crop monitoring, targeted fertiliser application, and soil condition assessment across the UK’s £13.7bn agricultural sector.

Emergency response applications reveal the mobility advantages most clearly. Deployable networks can be established at disaster sites within hours, supporting coordinated teams of aerial reconnaissance drones, ground-penetrating robots, and underwater rescue systems that previously required completely different communication solutions.

This shift from permanent to deployable infrastructure is reshaping robotics deployment economics. Organisations can now implement sophisticated automation without committing to long-term infrastructure investment. The same network supporting construction robotics can be redeployed for agricultural monitoring, emergency response, or industrial inspection as operational requirements change – flexibility that creates entirely new business models.

The technical performance metrics support this optimism. Private networks deliver the ultra-low latency, high bandwidth, and reliability percentages that safety-critical robotics applications demand. Edge computing integration addresses power consumption concerns while network-assisted coordination enables new forms of multi-robot collaboration that were previously impossible.

For sectors like offshore wind maintenance, where the UK operates more than 2,800 turbines with plans to quadruple capacity by 2030, deployable robotic capabilities could reduce maintenance mission fuel consumption by up to 90 per cent while dramatically improving operational safety and efficiency.

Going forward, the immediate challenge lies in scaling deployment capabilities and fostering industry collaboration. While individual projects like Shetland prove the concept works, the industry needs standardised deployment protocols and equipment packages that can be rapidly configured for different applications.

Recent demonstrations, including partnerships between research institutions like the National Robotarium and industry players, show how collaborative approaches can accelerate development. These showcases prove that bringing together robotics expertise, telecommunications providers, and end-user industries creates the practical insights needed to move from proof-of-concept to operational deployment.

The key is developing modular network equipment designed for quick setup and teardown, alongside training programmes that enable operators to manage deployable robotics across multiple sectors. Success will require continued collaboration between technology developers, network providers, and the industries that stand to benefit from this capability.

The technology is moving from proving it works to proving it scales. The question for engineering teams across industries is no longer whether portable networks can support advanced robotics, but how quickly they can identify and pilot applications that could benefit from this capability. The geographic constraints that have limited robotics deployment for decades are dissolving – the organisations that act now will define what becomes possible.

Ruth Plant, project manager at the National Robotarium at Heriot-Watt University