Human-computer interaction system of intelligent mechanical arm with body

The embodied intelligent robotic arm human-machine interaction system solves the safety and consistency problems of robotic arms after task interruption in complex environments by decomposing tasks into sub-tasks and introducing visual detection and safety anchor point mechanisms, thus achieving efficient task recovery and real-time response.

CN121447643AActive Publication Date: 2026-02-03NANJING TECHN COLLEGE OF SPECIAL EDUCATION
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Patent Information

Application Number
CN202512010138.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-29
Publication Date
2026-02-03
Estimated Expiration
2045-12-29

AI Technical Summary

Technical Problem

Existing robotic arm systems struggle to achieve flexible task adjustments in complex dynamic environments, lack safety and consistency when recovering from task interruptions, and existing replanning techniques are computationally complex and cannot meet real-time requirements.

Method used

The system employs an embodied intelligent robotic arm human-machine interaction system. It decomposes long-sequence tasks into sub-tasks through a large language model, introduces task acquisition, queue management, replanning and control execution modules, uses visual detection to identify temporary tasks, sets interruptible markers and safety anchors, and performs local replanning to ensure consistency and safety.

Benefits of technology

It enables safe interruption and efficient recovery of robotic arms in complex environments, improves autonomy and real-time performance, avoids end-effector instability and trajectory conflicts, and reduces computational complexity.

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Abstract

The invention relates to the technical field of mechanical arms, in particular to a man-machine interaction system of an intelligent mechanical arm with a body. The system decomposes a long time sequence task into sub-tasks through a large language model, and introduces a task acquisition module, a task queue management module, a task re-planning module and a control execution module, uses visual detection to identify gestures and environment events to trigger temporary tasks, and maintains interruptible marks and safety anchor points based on priorities and interruption risks. And during interruption, the mechanical arm with the timestamp and the environment state are collected, during recovery, the states are compared, local re-planning is carried out, transition sub-tasks are automatically generated for failure sub-tasks, and the mechanical arm is controlled to execute after constraint verification. According to the system, on the premise that the structure consistency, the space consistency and the time consistency are guaranteed, safe interruption and efficient recovery in a long-time-sequence task can be achieved, and the autonomy, the real-time performance and the operation safety of the mechanical arm in a man-machine cooperation scene are remarkably improved.
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