MOBILE ROBOT, SYSTEM FOR MULTIPLE MOBILE ROBOT, AND MAP LEARNING METHOD OF MOBILE ROBOT USING ARTIFICIAL INTELLIGENCE

• 1. 智能移动机器人系统及智能移动机器人 [P] . 中国专利： CN210990031U . 2020.07.14
• 2. 一种智能移动机器人系统及智能移动机器人 [P] . 中国专利： CN110313873A . 2019-10-11
• 3. Mobile robot, multiple mobile robot systems, and map learning method of mobile robots [P] . 韩国专利： KR102159971B1 . 2020-09-25

  机译： 移动机器人，多个移动机器人系统以及移动机器人的地图学习方法

• 4. Mobile robot, system for multiple mobile robots, and map learning method of mobile robot [P] . AU2020233700A1 . 2020-10-08

  机译： 移动机器人，用于多个移动机器人的系统以及移动机器人的地图学习方法

• 5. Mobile robot, system for multiple mobile robots, and map learning method of mobile robot [P] . AU2017256477A1 . 2018-12-13

  机译： 移动机器人，用于多个移动机器人的系统以及移动机器人的地图学习方法

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• 2. Coordination of multiple mobile robots with limited communication range in pursuit of single mobile target in cluttered environment [J] . Jianying ZHENG, Haibin YU, Meng ZHENG, 控制理论与应用（英文版） . 2010,第004期
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• 7. Using insects to drive mobile robots聽鈥斅爃ybrid robots bridge the gap between biological and artificial systems [J] . Arthropod Structure & Development . 2017,第5期
• 8. Based on Artificial Intelligence and Deep Learning Hand Gesture Recognition for Interaction with Mobile Robots [C] . Snezhana Georgieva Pleshkova, Aleksander Bogdanov Bekyarski, Zahari Todorov Zahariev National Conference with International Participation . 2019
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• 10. Development of Magnetic-Based Navigation by Constructing Maps Using Machine Learning for Autonomous Mobile Robots in Real Environments [O] . Takumi Takebayashi, Renato Miyagusuku, Koichi Ozaki 2021
• 11. Development of a Bio-inspired Vision System for Mobile Micro-robots:In this paper, we present a new bio-inspired vision system for mobile micro-robots. The processing method takes inspiration from vision of locusts in detecting the fast approaching objects. Research suggested that locusts use wide-field visual neuron called the lobula giant movement detector to respond to imminent collisions. We employed the locusts' vision mechanism to motion control of a mobile robot. The selected image processing method is implemented on a developed extension module using a low-cost and fast ARM processor. The vision module is placed on top of a micro-robot to control its trajectory and to avoid obstacles. The observed results from several performed experiments demonstrated that the developed extension module and the inspired vision system are feasible to employ as a vision module for obstacle avoidance and motion control. [O] . Hu, Cheng, Arvin, Farshad, Yue, Shigang 2014

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