Shopping Mall
Office Building
Hotel
Industry
Public Transit
Parks and Scenic Areas
Hospital
Supermarket
Residential
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Full-Scene Mobile Technology
Gaussian has years of experience in industry-university-R&D-sales-services integration and has developed forward-looking technologies for service robots and unmanned driving. Our solution includes four cutting-edge capabilities in the algorithm layer, application layer, backend layer, and data layer. It is suitable for a wide range of indoor and outdoor scenarios such as shopping malls, office buildings,supermarkets, factories, squares, roads, and more. Gaussian’s solutions reflect its commitment to realizing the advancement from automation to intelligence, and from standalone machines to a swarm solution.
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Algorithm Functionality
Application Layer Functionality
Backend Functionality
Data Functionality
Localization and Mapping Perception Path Planning Motion Control
Large-scale (1,000,000㎡) mapping,Precise localization in complex environments,Real-time dynamic map updates.
Data and scene driven, with multi-scene depth perception.One-of-a-kind dirt and stain identification, along with 99% garbage identification accuracy.
Free switching between full-coverage and patrol cleaning. Multi-mode path design along with adaptive crystallization, degreasing, empty parking space, and other cleaning modes.
Smooth starts and stops, flexible turning, and strong passability.
sweeping, scrubbing, dust mopping, carpet cleaning, disinfection, degreasing, and crystallization.
including autonomous elevator riding, turnstile linkage, water/power supply, and garbage dumping.
free switching of functions, high cleaning efficiency, long consumable service life, and adaptability to different scenarios.
supports task scheduling, timed tasks, and remote O&M.
supports device exception alerts and cloud processing, along with OTA updates.
software simulation provides an efficient foundation for R&D and testing, while mechanical simulation ensures precise design of product parameters.
unlock AIoT and embrace the IoE era.
the visualized management platform provides a quantifiable basis for decision-making.
multidimensional data analysis and closed data loops drive product iteration.
R&D Capacity and Achievements
Elite R&D Team of 400+ Supported by Four R&D Centers
An elite team staffed graduates from Cambridge University, National University of Singapore, Nanyang Technological University, University of Pennsylvania, Peking University, Fudan University, Shanghai Jiao Tong University, and other leading international universities.
100+ Masters & PhDs.
4 R&D centers in Shanghai, Singapore, Beijing, and Suzhou.
Approved Key National R&D Project
Gaussian Robotics partnered with 3 national key universities and 1 industry enterprise to apply for the “Research and Application Demonstration of AMR Cleaning Platforms in Urban Ecology Spaces” project, which was approved by the Ministry of Science and Technology.
456 Patent Applications and Papers Selected for Top International Academic Conferences
Gaussian has submitted 456 patent applications, of which 180 have been approved (including 53 invention patents, 93 utility model patents, and 34 design patents).
The research of Gaussian’s SLAM division was selected for publication by IROS 2021, the leading academic conference for robotics.
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