Robot system for laboratory pretreatment autonomous operation

By using an autonomous mobile platform and a multi-degree-of-freedom dual-arm robot system, combined with multimodal perception and intelligent control, the problems of adaptability, flexibility and collaboration in the automation of laboratory sample pretreatment have been solved, and efficient and safe full-process automated operation has been achieved.

CN122077598APending Publication Date: 2026-05-26INFORMATION TEST STANDARD (SUZHOU) ROBOT TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
INFORMATION TEST STANDARD (SUZHOU) ROBOT TECHNOLOGY CO LTD
Filing Date
2025-12-31
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing automated laboratory sample pretreatment equipment suffers from poor adaptability, low flexibility, weak collaboration capabilities, and low integration, resulting in low efficiency, high cost, and difficulty in ensuring operational accuracy and consistency.

Method used

Employing an autonomous mobile platform and a multi-degree-of-freedom dual-arm robot system, combined with a multimodal perception system and intelligent control logic, it achieves autonomous movement across regions, stable handling and precise operation of containers of various sizes. Through hierarchical and progressive task decomposition, multi-sensor closed-loop feedback, parameterized mapping, and dual-arm collaboration, it achieves full-process automation.

Benefits of technology

It achieves seamless integration of laboratory sample pretreatment, improves efficiency and throughput, reduces modification costs, ensures operational accuracy and result consistency, and enhances safety.

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Abstract

The invention discloses a robot system for laboratory pretreatment autonomous operation, which relates to the technical field of intelligent robots and is formed by organically fusing four core parts, namely a moving and executing platform, a sensing module, an operation and end tool module and a control and calculation module. Autonomous operation is realized through a set of layered progressive closed-loop feedback intelligent control logic: firstly, a macroscopic experiment task is gradually decomposed into executable'action-nodes' from top to bottom; secondly, real-time closed-loop feedback is formed through multi-source 3D vision and tail end force perception, the track of the mechanical arm is dynamically corrected, and the operation force is accurately controlled; and finally, two arms are driven to work cooperatively through parameterized mapping and accurate time sequence control, so that unmanned, standardized and high-reliability operation of a sample pretreatment process is realized in a variable experimental environment, and the limitation of manual operation and an existing single-function automation scheme is effectively overcome.
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