2025 | Student
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With dynamic environmental adaptation and collaborative intelligence at its core, NexaClean is redefining industrial cleaning paradigms. Its innovative Smart Fusion Hub integrates industrial-grade SLAM, LiDAR, vision and texture recognition technologies to construct a multidimensional environmental awareness model with centimetre-level precision. This enables robust navigation and autonomous obstacle avoidance within complex, dynamic industrial settings.
Its adaptive collaborative architecture supports flexible operation modes, including standalone autonomy, multi-robot coordination and centralised dispatching. With native collaborative capabilities, the NexaClean robot can seamlessly exchange data and coordinate tasks with other mobile units (e.g. AGVs and AMRs) within facilities to form a distributed intelligent cleaning network.
Engineered for extreme compactness and with a zero-radius turning capability, the robot can navigate narrow aisles and densely populated equipment zones with agility, maximising space utilisation. Deep integration with industrial IoT protocols enables direct intelligent control of elevators, rolling doors, and other critical infrastructure, transcending physical boundaries and achieving a leap from localized cleaning to plant-wide intelligent coverage.
NexaClean liberates humans from hazardous, repetitive cleaning tasks. Its non-disruptive operating mode allows it to be used during ongoing production, enabling the spatiotemporal coexistence of cleaning and manufacturing workflows. Its forward-looking modular design supports flexible, customisable functional payloads (e.g. dust suction, wet mopping and disinfection), ensuring long-term adaptability and aligning with the core demands of configurable flexibility and sustainability.
As an intelligent cleaning solution, NexaClean delivers efficient and reliable cleaning results that can be quantified. By integrating deeply into the smart factory ecosystem, it significantly reduces the total cost of ownership (TCO) and enhances overall space.
Credits
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