Adding Dynamic to the 4 D’s of Robotisation in Construction
Industry 4.0, IoT, IIoT, AI and machine learning are all terms now synonymous with industrial automation. Likewise, commentators have given much thought in recent years around the β4 Ds of robotisation: dull, dirty, dangerous and dearβ. In fact, βdifficultβ and βdemeaningβ have also been thrown into the mix.
But what about βdynamicβ? A term that focuses more upon a robotβs ability to perform better than us mere humans, rather than simply picking up the more mundane, or risky, tasks.
Here, Sam Wood, industrial automation product manager for Oxfordshire-based Navtech Radar, argues that industrial automation isnβt just about robots picking up the tasks that donβt require human reason or decision-making. Β So dynamic are the technological advancements in construction that radar technology can be deployed to help manage ever more demanding tasks, in turn improving efficiencies, reducing downtime, and reducing the risk of injury.
βItβs taken for granted nowadays that our lives, both in the workplace and at home, have been improved immeasurably through automation. GPS can guide us from Landβs End to John OβGroats without a glitch. A car on the assembly line can be completed to a customerβs precise specification by keying in the design requirements before a single rivet has been punched. And weβve all been told that our smartphones today have more processing power than was available to the entire NASA team when Neil Armstrong was sent to the moon.
βIn extreme working environments, however, where heavy plant and machinery meet dust, dirt, obfuscation and harsh weather conditions, industrial automation is cutting through the robot rhetoric and delivering extraordinary results.
βFirst off, the term βconstructionβ can cover pretty much anything from a house extension, a new housing development or the razing to the ground of an old building in a confined space to replace it with, say, Londonβs The Shard. Similarly, construction encapsulates civil engineering behemoths such as the Channel Tunnel and more latterly, here in the UK, the HS2 project. For the purposes of putting robotics and automation into context, letβs assume we arenβt talking about extensions and small developments here.β

So what are the challenges?
βLetβs start with those four Ds. Construction environments are invariably dirty, and by their nature, can be dangerous too. According to figures released by the Health and Safety Executive (HSE) in November 2022, of the 123 work-related fatalities to occur between April 2021 and March 2022, 30 were in construction β the highest of any sector. While this is a drop from the 39 fatalities the previous year, one death is still one death too many. In addition, itβs reported that construction had a non-fatal injury rate of 2880 per 100,000 workers, which compares to the all-industry rate of 1650 per 100,000.
βReplacing human operators with machine-automated processes and equipment in large-construction and civil engineering isnβt as simple as it may be in other industries that rely less upon skilled labour and indeed, within a working environment that shifts at a slower pace. For instance, a construction site will differ enormously from the next (The Shard was built as a βvertical cityβ within a confined space of approximately 27 acres to replace the demolished Southwark Towers, while the HS2 project sweeps across 140 miles of English countryside).
βOpen cast mining sites, where deployment of industrial radar is more established and commonplace, will share similar topology and geography with other mines; they may also have an expected lifespan of up to 70 years β allowing for automation to be embedded in repetitive tasks more easily, day in, day out. In construction, radar has much to offer, albeit that its integration needs to be planned in a slightly different way to account for more dynamically changing environments.
βItβs quite evident, then, that to reduce human interaction within such environments will more likely be a more tailored exercise, but the development and introduction of autonomous vehicles in construction, such as unmanned cranes, diggers, and bulldozers, can help to overcome some of the risks associated with construction, as highlighted by the HSE reports. Moreover, it can tackle some of the widespread apprehension around factors such as an ageing workforce, labour shortages, and concerns around a lack of efficiency, productivity, and innovation; all of which are exacerbated by narrowed profit margins.
βThe government announced in July 2017 that it was investing Β£25 millionΒ towards research and development of off-road connected autonomous vehicle technology for the construction, mining and farming sectors demonstrates that autonomation in construction is here for the long-term, and with the aim of being more efficient and dynamic, not just to do the classic β4Dsβ tasks.β
Where are the technological glitches?
βAt present, autonomous vehicles in construction tend to operate via LiDAR sensors detecting obstacles within the given environment, inertial measurement units (IMUs), and global positioning system (GPS) technology. While this does allow a vehicle to know its precise position, and geo-fencing technology will stop any vehicles from moving beyond the boundaries of the construction site, for this complex network of information and vehicle systems to operate effectively, it is vital that the sensors deployed are capable of operating at the highest levels of situational awareness, so that every possible hazard is identified at the earliest opportunity.
βHow, therefore, is it possible to be at our most dynamic when sensors canβt see optimally when constricted by high walls – or neighbouring city-centre skyscrapers – nor at night-time or in extremely dusty environments? Thatβs where radar comes into its own.
βRadar provides reliable performance even in the most adverse conditions, including rain, fog, dust, and dirt – even when other sensors fail. Moreover, high-resolution, 360Β°, long-range radar builds a data-rich picture of its surroundings, working far beyond the limits of a personβs line of sight. Radar sees what humans canβt, adding that vital extra layer of safety to challenging environments.
βNavtech Radarβs sensors are fully compatible with the open-source Robotic Operating System (ROS), quick to integrate, and give full access to the radarβs raw data. Radar works through extreme sunlight as well as through βblind spotsβ where GPS canβt, meaning that assets can be tracked in literally all conceivable conditions. Crucially moreover, radar-based solutions can be seamlessly integrated with LiDAR and GPS to deliver multi-sensor fusion applications at construction sites.β

So what else might be at play here?
βNo construction site should have a single point of failure, and the reliance upon implementing just one sensor-based technology for autonomous operation is a huge risk, with the potential for costly downtime, or impacts on personnel safety, as a result.
βOne of the greatest threats right now to GPS is βjammingβ, or βspoofingβ, where a frequency-transmitting device can be used to block or interfere with radio communications. Equally, GPS denied environments, such as remote country locations that the HS2 project may need to carve through need redundancy, should there be no line-of-sight; this is quite often an issue in construction environments because of natural geometry or infrastructure.
βTo compound this, there is the ever-looming threat of solar excitation events, which can seriously degrade the performance and accuracy of any Global Navigation Satellite System (GNSS). This problem is well-known to space scientists, with the effects being seen more often by satellite operators than those of a more terrestrial nature. While satellite technology takes account of the harsh operating environment of space, major events inevitably have an effect. GNSS outages are expected, for example, between 2024 and 2026 β with a peak anticipated in 2025Β – when NASA, amongst others, have predicted the impacts this will have on technology on earth, and in space.
βNavtechβs radar localisation solution is achieving just that. It combines radar technology with mapping and localisation software to deliver never-seen-before pinpoint, centimetre-level localisation, even in the harshest conditions and environments. This can also be augmented through multi-experience mapping, combining the radar solution with world-leading autonomous vehicle software to collect the data needed to map any environment in incredible detail.β
Back to those 4Ds
βIndustrial automation in construction and civil engineering has come a long way, in that it is continually improving processes and production. Yes, the dull, dirty, dangerous, and dear tasks are increasingly being performed autonomously, but progress isnβt just about completing these tasks β progress is about being dynamic. Progress is about realising vision, such as that which Irvine Sellar had when he conceived the idea of The Shard.
βBeing more dynamic will mean using industrial automation to take us to the next level, to do what humans canβt, and to perform tasks that make construction more productive, more cost-effective, and of course more positive in their impact upon both the bottom line as well as the wellbeing and safety of operators.β
















