管道疏通机器人非结构环境下多模态感知研究

罗天洪; 李乔易; 马翔宇; 郭园; 张霞

doi:10.13433/j.cnki.1003-8728.2018.0505

管道疏通机器人非结构环境下多模态感知研究

doi: 10.13433/j.cnki.1003-8728.2018.0505

1.
重庆交通大学机电与车辆工程学院, 重庆 400074;
2.
西安航空学院机械工程学院, 西安 710077

基金项目:

国家自然科学基金项目（51375519）与重庆市研究生科研创新项目（CYS17196，CYS17201）资助

详细信息

作者简介:
罗天洪(1975-),教授,博士,研究方向为机器人系统动力学和多领域仿真研究,tianhong.luo@163.com

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- 文章访问数: 251
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- 被引次数: 0
出版历程
- 收稿日期: 2017-04-19
- 刊出日期: 2018-05-05

Multi-modal Cognitive Strategy Research for Plumbing Robot under Unstructured Environment

1.
School of Mechanical and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China;
2.
College of Mechanical Engineering, Xi'an Aeronautical University, Xi'an 710077, China

摘要

摘要: 为实现机器代替人工解决市政管道堵塞引发的内涝问题，提高机器人在非结构环境下的智能化程度，基于共融理论，设计了一种具有管径自适应能力的径向辐射轮式管道疏通机器人，提出一种面向管道疏通机器人的多模态感知模型，求解视觉、接近觉和触觉三大感知系统，实现管道疏通机器人末端执行器在工作时段内，以最佳移动速度完成自适应路径规划，提高了管道疏通效率。仿真试验结果表明：管道疏通机器人的多模态感知模型具有一定的可行性和实用性。
- 共融理论 /
- 机器人 /
- 非结构环境 /
- 模型 /
- 感知系统 /
- 疏通效率
Abstract: In order to replace labor with machines to handle the water logging problems caused by the blockage, and improve the intelligence of machines under the unstructured environment, in this paper we design a dredge wheeled robot with adaptive diameter, and propose a plumbing robot oriented model based on the theory of Coexisting-cooperative-cognitive robot. By building three sensory systems of vision, proximity and tactile, the end actuator of the robot performs the adaptive path planning at the optimal moving speed and improves the efficiency of the pipeline dredging. The simulation results show that the multimodal perception model of pipeline dredge robot has certain feasibility and practicability.
- robot /
- unstructured environment /
- models /
- perception system /
- actuators /

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参考文献(16)

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