IN Brief:
- The TDL Lab is operating inside the MegaWise Cheongna Logistics Center in Incheon.
- Seven technology partners cover storage, sorting, loading, autonomous movement, vision and systems integration.
- LX Pantos plans a progression from human-robot collaboration to unmanned and intelligent logistics centres.
LX Pantos has opened a logistics technology laboratory within its MegaWise Cheongna Logistics Center in Incheon, South Korea, to test robotics and artificial intelligence applications under warehouse operating conditions. The TDL Lab will bring together equipment and software providers to evaluate how different automation systems can be combined before the company extends them into contract logistics operations.
The project forms part of LX Pantos’s technology-driven logistics programme, which it describes through robotics transformation and AI transformation. Rather than treating individual machines as standalone upgrades, the company wants to examine how they operate together within a logistics centre’s storage, movement, sorting and picking processes. The laboratory is located within an established operational site, allowing proposed approaches to be assessed alongside the practical demands of handling customer goods.
Seven companies have joined the associated TDL Alliance since the initiative began in April 2026. LG CNS contributes systems integration and centralised control technology, while Hai Robotics works on automated storage and picking. Libiao Robotics supplies sorting automation, and XYZ Robotics focuses on robotic arms for container loading, unloading, palletising and depalletising. SUM contributes autonomous vehicle development and fleet management, Twinny provides autonomous mobile robots for collaborative picking, and Deepfine supplies vision-based technology for picking and inspection.
Inventory movement across a warehouse involves several connected steps. Automated storage can present stock for picking, but picked items still require identification, consolidation, sorting and transfer towards despatch. Robotic arms depend on accurate information about load shape and position; mobile machines must receive non-conflicting movement instructions around staff and other vehicles. The testbed can assess how task data passes between these systems and whether a completed operation is recorded accurately before the next machine takes over.
The company has organised its strategy around five technology areas: mobile robots, robotic arms, next-generation mobility, artificial intelligence and digital twins. The first three concern the physical movement and manipulation of freight. AI and digital representations are intended to help model, control and optimise the processes connecting them. LX Pantos has not presented a single throughput figure or productivity improvement from the new laboratory, so the commercial performance of particular combinations remains to be established through testing.
LX Pantos envisages a three-stage progression from human and robot collaboration to unmanned operations and then intelligent logistics centres. The stages describe intended future operating models, not capabilities already deployed throughout its estate. Widespread automation also depends on warehouse management data, exception handling, maintenance planning and continuity when a robot or control system becomes unavailable. The laboratory provides a place to test those interfaces before a customer operation is committed to a particular configuration.
The open partner model is designed to avoid testing components in isolation. A storage robot that performs well in a controlled demonstration may face different constraints once several order profiles, varying load dimensions and delivery deadlines are involved. Systems integration is therefore a practical issue as much as a software exercise: robots must share location and task information with the warehouse management environment, and human operators need clear processes for loads that cannot be handled automatically.
Auh Jae-hyuck, Executive Vice President and Head of the Contract Logistics Business Unit at LX Pantos, said the company wants robotics and AI to operate together across logistics processes, with configurations adapted to customer requirements. LX Pantos intends to expand the TDL Alliance as additional technologies are identified for testing. It has not announced a fixed completion date for its three-stage roadmap or named the number of customer sites that will receive the first configurations.
The partner roster spans different handling requirements. Parcel sorting, stock replenishment and full-pallet handling involve different load dimensions, access patterns and order information. Vision systems may locate individual items and identify handling positions, but the warehouse system must still determine their destination and whether the intended movement has completed successfully. The test programme will need to resolve those handovers before equipment from different suppliers can be deployed as one operation. No throughput target or purchase commitment for every partner system has been disclosed.
The laboratory is operating within the MegaWise Cheongna site, so trials can examine potential interfaces with established logistics processes. LX Pantos says it will validate promising systems before rolling them out more widely. The first demonstrable milestones will therefore be individual technologies and combinations taken into live contract logistics services, followed by evidence of how they perform with differing stock profiles and customer service requirements. The company has not yet published those deployment or performance results.
