Tag: autonomous systems

  • Autonomous Robots Deploy Across Asia to Monitor 19,200-Km Cable Routes

    Autonomous Robots Deploy Across Asia to Monitor 19,200-Km Cable Routes

    Subsea cable operators across Asia-Pacific are turning this week to resident autonomous robots and long-range underwater vehicles from firms including Kongsberg, Greensea IQ, and Nauticus Robotics to monitor thousands of kilometres of critical digital infrastructure. Conventional vessel inspections are giving way to seabed-docked machines capable of operating for 15 days continuously at depths reaching 6,000 metres.

    The shift targets vast communication arteries across the region, including the 19,200-kilometre SEA-ME-WE 6 cable connecting Southeast Asia to Western Europe with a design capacity of 126 terabits per second. Maintaining continuous surveillance over links of that scale has made traditional ship-based inspection crews prohibitively slow and expensive for regional network consortia.

    Permanent Docking and Local Processing

    Under the emerging operating model, robotic units remain stationed on the ocean floor inside dedicated docking cradles rather than deploying from surface support craft. These resident units recharge batteries, offload telemetry, and receive updated mission routes directly through subsea connection points before returning to patrol nearby cable landing corridors.

    Edge computing systems on board the vehicles process acoustic readings, sonar scans, and high-resolution optical imagery locally instead of streaming raw files to land. The robots compare real-time seafloor scans against recorded baselines, flagging unburied cables, anchor dragging risks, or seabed displacement before transmitting targeted alerts to network operating centers.

    Hardware manufacturers are scaling the range of these autonomous platforms to meet commercial requirements. Kongsberg has deployed its HUGIN Endurance platform, which covers up to 2,200 kilometres on a single 15-day mission without surface vessel guidance. Meanwhile, the Eelume system, built in partnership with Kongsberg Maritime and Equinor, uses permanent subsea docking stations to conduct continuous structural intervention and inspection tasks.

    Expanding Reach Across Southeast Asian Waters

    Deployment activity is concentrating in shallow straits and dynamic coastal waters where commercial ship traffic poses constant hazards to subsea infrastructure. Greensea IQ has partnered with regional marine service firms to deploy rugged seabed crawlers across nearshore zones and surf corridors in Singapore, Malaysia, and Indonesia.

    Nauticus Robotics has expanded operations in Asia-Pacific to pitch tetherless, autonomous inspection vehicles directly to offshore energy and telecommunications operators. Their systems target lower operating expenditures and lower carbon footprints by cutting reliance on diesel-burning surface vessels during routine surveys.

    China operates the largest deep-sea robotics program in the region, running autonomous vehicles through national research institutes for pipeline verification, marine surveying, and mineral exploration at extreme depths. Those state-backed platforms provide domestic network operators with specialized survey fleets capable of mapping difficult deepwater trenches across East Asia.

    Operating Risks and Capital Demands

    For telecoms consortia and cloud infrastructure providers, relying on permanent subsea robotics removes the scheduling bottlenecks of chartering specialized inspection ships. Vessels often take weeks to mobilise after an outage, leaving high-capacity data routes exposed to prolonged downtime while repair teams locate damage manually.

    The financial risk lies in the high capital cost of seabed docking stations and autonomous fleets before operational reliability is proven across multi-year deployments. Saltwater corrosion, power delivery failures at docking nodes, and navigation drift in turbid coastal channels can strand expensive autonomous assets on the seabed, requiring emergency recovery missions that erase projected operational savings.

    Regulatory ambiguity across contested waters also creates immediate hurdles for automated underwater vehicles. Operating autonomous survey craft across overlapping maritime boundaries in Southeast Asia raises sovereignty and permitting questions, particularly when robotic patrols approach foreign exclusive economic zones or dual-use subsea landing sites.

    Deepwater Capacity and Next Deployments

    Regional network groups had previously managed subsea maintenance almost entirely through episodic ROV charters arranged through regional marine maintenance agreements. Rising demand for real-time cloud connectivity and artificial intelligence data processing has pushed infrastructure managers to treat seabed surveillance as an active, continuous operation rather than an ad hoc repair task.

    That pressure is accelerating as new regional links enter construction, including the 8,000-kilometre XLSMART cable system connecting Southeast Asia directly to Japan. Consortia backing these high-capacity routes are structuring long-term maintenance budgets around autonomous robotic coverage to safeguard data flows across critical maritime choke points.

  • LG to utilize Azure for autonomous systems

    LG to utilize Azure for autonomous systems

    LG Electronics will be utilizing a Microsoft product in the development of autonomous vehicle systems, LG said Wednesday. Under the agreement between the two companies, LG has gained access to Microsoft’s Azure cloud-computing platform for its self-driving car systems. Apart from storing vast amounts of data, the Azure platform also offers immense computing power for data-based applications and services.

    The two companies met Monday to sign a memorandum of understanding at the Consumer Electronics Show (CES) in Las Vegas. LG will connect with Azure in developing driver-support systems, cameras and a virtual assistant that can answer vocal commands.

    “Developing software for self-driving car components – whether it’s for navigation or infotainment – requires an enormous amount of data processing,” explained an LG spokesperson.

    “The agreement with Microsoft Azure is basically aimed at helping our software save and utilize as much data as possible in the shortest amount of time.”

    LG plans to use Azure’s high-performance computing and graphics processing units. According to the company, these tools can slash the time required to learn roads and traffic patterns from more than a full day to a few minutes. Higher processing speeds will also help the software learn patterns gathered from cameras regarding the driver, pedestrians and other objects on the streets.

    Another tool offered on the Azure platform is a voice assistant. LG plans to incorporate this into its infotainment system so that the car’s software can answer questions and receive commands.

    It could, for example, check traffic conditions, search for a restaurant nearby or call up favorite songs.

    The large amounts of data LG collects from self-driving cars will be saved in the Azure system, including photos of roads, obstacles and road signs collected from all over the world. LG will be able to utilize the data collected for further development. In the past, before cloud services existed, international data had to be shipped to Korea in hard drives.

    LG Electronics has been supplying components to self-driving carmakers since late 2016. The field is considered a future growth engine for the company.

    “In the upcoming age of autonomous vehicles, LG Electronics will shift the definition of cars from a means of transportation to a mobile space, which can turn into a conference room, a theater or a shopping mall,” said the company’s chief technology officer, Park Il-pyung, during a pre-show keynote speech on Monday.