Zio selects NEO cells for heavier AMRs

Zio selects NEO cells for heavier AMRs

Zio Robot will integrate NEO battery cells into MW robots. The partnership targets higher energy density and discharge capability for heavy-duty autonomous mobile robots, aiming to extend runtime and support higher payload performance in industrial logistics deployments.


IN Brief:

  • Zio Robot and NEO Battery Materials have signed a technology partnership.
  • The focus is battery energy density, discharge rates, and cycle life for AMRs.
  • Battery sourcing is becoming a strategic constraint in warehouse robotics scaling.

Zio Robot Co., a South Korean autonomous mobile robotics company, is working with NEO Battery Materials to integrate high-energy lithium-ion battery cells into Zio’s Mobile Worker (MW) autonomous mobile robots. The companies said the partnership is focused on improving energy density and high-rate discharge capability compared with batteries currently used in the MW platforms, with targeted outcomes including extended operational runtime and higher payload performance at system level.

NEO said the Mobile Worker platform is designed for heavy-duty payload logistics, with MW units capable of handling payloads of up to 6,000 kg. That payload class makes battery characteristics a primary engineering constraint, particularly where robots are expected to sustain high utilisation without long charge windows, and where torque demand, acceleration profiles, and cycle life can be unforgiving in real warehouse duty cycles.

A further element is the way Zio’s hardware is configured. The company said its modular architecture allows multiple MW units to link and unlink depending on site requirements, a design intended to reduce initial deployment cost while supporting flexible configuration across different environments, including warehouses, hospitals, and manufacturing sites. Zio said the platform combines AMR systems with intelligent control algorithms and an omnidirectional driving system, broadening mission profiles and supporting human-robot interaction.

Dr. Tae Hun Kang, CEO of Zio, said: “Zio is pleased to initiate this battery development and optimization project. We anticipate that NEO’s high-performance batteries will provide MW robots with a competitive edge in logistics. This partnership also presents an opportunity for Zio to develop higher-load MW models that exceed our current maximum payload capabilities. By diversifying battery procurement away from Chinese suppliers to NEO, we expect to expand beyond our current serviceable markets and applications.”

NEO said both companies will prototype and deliver integrated battery solutions to Zio’s anchor collaborators, including Samsung Electronics, where MW systems are deployed for industrial and manufacturing logistics. That prototyping pathway matters because battery performance claims tend to fail on the boring details: thermal behaviour under continuous discharge, degradation under partial-state cycling, charging infrastructure compatibility, and the operational reality of mixed fleets with different duty patterns.

Mr. Spencer Huh, President & CEO of NEO, said: “Zio’s logistics robots face the same battery constraints as drone platforms: runtime and payload capacity are directly limited by cell-level performance. Following the successful live field demonstration of our NBM Drone Cell, this partnership extends NEO’s proven approach into another high-growth vertical in physical AI. Western and Western-allied robotics and industrial automation sectors are actively seeking non-Chinese, application-specific battery solutions, and NEO is well-positioned to fulfill and deliver this demand.”

For warehouse operators, longer runtime is not a headline feature so much as a scheduling variable: fewer mid-shift interventions, less spare fleet capacity held back for charging gaps, and more predictable utilisation in peak periods. The companies have framed the partnership around those operational outcomes, with next steps focused on prototype deployment and validation in live logistics environments.


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