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Teleo expands autonomous machinery to new industries across sectors

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The company has secured orders for 34 machines and nine new customer deals in the pulp and paper, logging, port logistics, munition clearing and agriculture industries.

Teleo announced at UP.Partners‘ UP.Summit the expansion of its strategic focus to deploy autonomous heavy machinery such as wheel loaders, terminal tractors, excavators and more into new industries beyond construction. The company has also secured orders for 34 machines and nine new customer deals in the pulp and paper, logging, port logistics, munition clearing and agriculture industries. Teleo is targeting expansion into other industries such as airports, waste and recycling, logistics, warehousing and more.

Teleo converts any make, model and vintage of heavy equipment into autonomous robots. Teleo’s Supervised Autonomy keeps human operators involved, enabling one human to oversee multiple autonomous machines. The human operator acts as a supervisor with the ability to step in remotely to control the machine. Teleo is moving the operator into a remote central command center, making their role safer and more accessible.

“From day one, we have been obsessed with building a platform — both hardware and software — that is universally applicable to any make and model of heavy machinery and use case, opening doors to new industries,” said Vinay Shet, co-founder and CEO, Teleo. “While construction remains a core industry for us, it’s evident that our technology offers significant value across a broader range of sectors. Our machine-agnostic and industry-agnostic approach ensures quick and easy deployment, allowing us to launch at diverse job sites, from remote and bustling to large and small, and from indoor to outdoor environments.”

New industries and customers for Teleo to expand into include:

  • Munition Clearing
  • Pulp and Paper
  • Logging
  • Port Logistics
  • and more

Snow Removal

The company has expanded its work in snow removal with an order from Alff Construction. Alff has outfitted a John Deere 333G compact track loader with Teleo Supervised Autonomy to remotely clear snow for multiple big box retailers beginning in winter 2024. An operator in a remote central location will control the machine for late-night snow removal. The company is also utilizing the machine for site preparations, landscaping and grading. The collaboration between Alff and Teleo was advanced by Teleo dealer Ozark Laser.

Broadening Teleo’s Global Construction Footprint

Construction and mining company Black Cat Civil has confirmed a contract for 10 Teleo Autonomous machines. This marks Teleo’s customer expansion into Australia supported and deployed by Teleo’s Australian distributor Aptella (formerly Position Partners). Black Cat will integrate Teleo Supervised Autonomy into 10 of its fleet of Caterpillar 740EJ articulated dump trucks (ADTs) to remove the danger of machines working within hazardous areas. Teleo Supervised Autonomy will also provide reduced planning for costly polluted air travel, accommodation and other related logistics.

MS Park Construction has placed an order for ten machines. The machines will be equipped with Teleo’s technology on eight John Deere 410P ADTs and two 850L SmartGrade bulldozers by the end of this year to build a large logistics warehouse site. The articulated dump trucks will perform large scale earthmoving and autonomously move dirt across the site. The dozer will perform precision grading. The company plans to bring their vision of an autonomous jobsite to fruition.

MS Park Construction is leveraging Teleo’s technology to improve safety and efficiency. This includes reducing idle machine time and truck bunching. Additionally, the company is working closely with Teleo and Dobbs Positioning Solutions, a division of Dobbs Equipment, which is also facilitating the deployment with MS Park Construction, to create an operator training plan. The program will leverage Dobbs Positioning Solutions’ remote command center located at its Atlanta store, and Teleo’s testing site to train operators to supervise the autonomous machines upon deployment.

LM Staff

LM Staff

Landscape Management's staff brings together collective experience in journalism, research, writing, and editing. Our team stays tapped into the pulse of the industry, covering a wide range topics with a commitment to delivering compelling stories and high-quality content.

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