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Look, no operator: JTC, Kajima pilot Singapore's first autonomous heavy construction equipment

In a corner of Jurong West, 'Optimus Prime and his friends' are proving that construction equipment can work without anyone behind the controls.This isn't a Transformers movie set or that the Autobots have come to earth and chose Singapore. Instead, JTC Corporation and Japanese construction firm Kajima Corporation are putting autonomous heavy construction equipment through its paces at Bulim Autonomous...

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Look, no operator: JTC, Kajima pilot Singapore's first autonomous heavy construction equipment
Look, no operator: JTC, Kajima pilot Singapore's first autonomous heavy construction equipment

In a corner of Jurong West, 'Optimus Prime and his friends' are proving that construction equipment can work without anyone behind the controls.

This isn't a Transformers movie set or that the Autobots have come to earth and chose Singapore.

Instead, JTC Corporation and Japanese construction firm Kajima Corporation are putting autonomous heavy construction equipment through its paces at Bulim Autonomous Yard.

Announcing this in a joint news release on Thursday (Sept 17), JTC and Kajima said the pilot will test how these machines can ease Singapore’s construction manpower constraints and improve safety.

This will be the first pilot project to explore the use of autonomous heavy construction equipment in Singapore, said the statement.

Working together with the Housing and Development Board (HDB) and the Public Sector Science and Technology Policy and Plans Office (S&TPPO), this is part of JTC's sandbox for validating autonomous construction equipment under real site conditions.

Building faster and safer

Under the trial, existing machines are retrofitted, including with sensors and artificial intelligence, to carry out tasks set within virtual geographic boundaries — also known as geofencing.

The activities are then monitored remotely by staff who will intervene whenever an issue occurs.

Meanwhile, these autonomous machines, if deployed following successful trials, can help reduce workers' exposure to some onsite safety hazards by decreasing the need for personnel to operate machinery or work in close proximity to moving equipment.

The Ministry of National Development (MND) had earlier said that it will continue to "build more and build faster" to ensure an adequate supply of new flats to meet the expected increase in demand for Build-To-Order flats and executive condominiums.

This would, in turn, allow the Government to meet the more diverse housing aspirations of Singaporeans.

And building faster — safely and smartly — are the objectives of this trial.

Assistant chief executive officer for engineering and operations at JTC, Calvin Chung, highlighted in the statement that adding more manpower is not a sustainable way to meet Singapore's future construction needs.

"JTC has a pipeline of at least 800 hectares of earthworks projects over the next five years. If the pilot succeeds, we will deploy autonomous heavy construction equipment across suitable projects in our pipeline and support wider industry adoption," he said.

Autonomous bulldozers and dump trucks

JTC also said that it is working with the Ministry of Manpower to develop operating guidelines and safeguards to support industry-wide deployment while prioritising human safety.

Beyond single-machine autonomous operations, JTC and Kashima are also exploring how to extend the trial to autonomous bulldozers and dump trucks next year.

They intend to create a coordinate fleet of machines, with autonomous excavators digging and removing soil or rock, followed by an autonomous dump truck transporting these materials to the required location.

Next, an autonomous bulldozer will spread and level the soil to the required height and shape before compactors move in to stabilise the ground for subsequent building works.

To do these, Kajima said it is working with local contractor Kok Tong Construction and equipment provider Tractors Singapore Limited to retrofit conventional equipment with autonomous capabilities, train Singapore-based operators and engineers, and document lessons from the pilot for wider industry adoption.

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