Development and application of key technologies for Guide Dog Robot: A systematic literature review

Hong, Bo; Lin, Zhangxi; Chen, Xin; Hou, Jing; Lv, Shunya; Gao, Zhendong

doi:10.1016/j.robot.2022.104104

Cited by 14 publications

(4 citation statements)

References 55 publications

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“…Specifically, it may be to plan a collision-free shortest path from the initial position to the target position for mobile robots in a two-dimensional space (Xie et al, 2019) or to plan a safe and non-collision path with a relatively optimized path or search time for industrial robots. Jiang Xinsong, the father of Chinese robotics, synoptically defined path planning as the task of determining a non-collision path between the initial state (including position and attitude) and the target state (including position and attitude) according to a certain evaluation criterion in an environment with obstacles (Hong et al, 2022). Different distributions of obstacles in the environment directly…”

Section: The Classification Of Path Planning Of Robotsmentioning

confidence: 99%

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A survey of path planning of industrial robots based on rapidly exploring random trees

Luo,

Zhang,

Zhuang

et al. 2023

Front. Neurorobot.

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Path planning is an essential part of robot intelligence. In this paper, we summarize the characteristics of path planning of industrial robots. And owing to the probabilistic completeness, we review the rapidly-exploring random tree (RRT) algorithm which is widely used in the path planning of industrial robots. Aiming at the shortcomings of the RRT algorithm, this paper investigates the RRT algorithm for path planning of industrial robots in order to improve its intelligence. Finally, the future development direction of the RRT algorithm for path planning of industrial robots is proposed. The study results have particularly guided significance for the development of the path planning of industrial robots and the applicability and practicability of the RRT algorithm.

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Section: The Classification Of Path Planning Of Robotsmentioning

confidence: 99%

“…path was optimized by global path planning and local replanning to achieve dynamic obstacle avoidance (Hong et al, 2022). Similarly, Deng et al (2016) proposed a local re-planning algorithm-dynamic RRT algorithm to replace global planning, which preserved the original points as much as possible.…”

Section: Figurementioning

confidence: 99%

A survey of path planning of industrial robots based on rapidly exploring random trees

Luo,

Zhang,

Zhuang

et al. 2023

Front. Neurorobot.

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“…Bionics, a discipline of biologically inspired engineering, plays a key role in designing and constructing novel robots with artificial systems to mimic or own some characteristics of living systems. [ 61 ] Researchers have attempted to apply bionic robots (e.g., robot snakes, [ 62 ] robot fishes, [ 63 ] and robot dogs [ 64 ] ) in disaster relief, cargo transportation, microplastic removal, underwater surveys, and other fields. Because human dexterous hands can grasp and manipulate objects, various robots with operating components that mimic the structure of hands have been investigated.…”

Section: Introductionmentioning

confidence: 99%

Untethered Microgrippers for Precision Medicine

Zhou,

Zhang,

Liu

et al. 2023

Small

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Microgrippers, a branch of micro/nanorobots, refer to motile miniaturized machines that are of a size in the range of several to hundreds of micrometers. Compared with tethered grippers or other microscopic diagnostic and surgical equipment, untethered microgrippers play an indispensable role in biomedical applications because of their characteristics such as miniaturized size, dexterous shape tranformation, and controllable motion, which enables the microgrippers to enter hard‐to‐reach regions to execute specific medical tasks for disease diagnosis and treatment. To date, numerous medical microgrippers are developed, and their potential in cell manipulation, targeted drug delivery, biopsy, and minimally invasive surgery are explored. To achieve controlled locomotion and efficient target‐oriented actions, the materials, size, microarchitecture, and morphology of microgrippers shall be deliberately designed. In this review, the authors summarizes the latest progress in untethered micrometer‐scale grippers. The working mechanisms of shape‐morphing and actuation methods for effective movement are first introduced. Then, the design principle and state‐of‐the‐art fabrication techniques of microgrippers are discussed. Finally, their applications in the precise medicine are highlighted, followed by offering future perspectives for the development of untethered medical microgrippers.

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“…These applications are used to read out web pages, books, and other written materials. They enable individuals to access a wide range of information in a format that is more accessible to them [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Machine learning and Sensor-Based Multi-Robot System with Voice Recognition for Assisting the Visually Impaired

C P,

Rane,

Himantha Rao

et al. 2023

JMC

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Navigating through an environment can be challenging for visually impaired individuals, especially when they are outdoors or in unfamiliar surroundings. In this research, we propose a multi-robot system equipped with sensors and machine learning algorithms to assist the visually impaired in navigating their surroundings with greater ease and independence. The robot is equipped with sensors, including Lidar, proximity sensors, and a Bluetooth transmitter and receiver, which enable it to sense the environment and deliver information to the user. The presence of obstacles can be detected by the robot, and the user is notified through a Bluetooth interface to their headset. The robot's machine learning algorithm is generated using Python code and is capable of processing the data collected by the sensors to make decisions about how to inform the user about their surroundings. A microcontroller is used to collect data from the sensors, and a Raspberry Pi is used to communicate the information to the system. The visually impaired user can receive instructions about their environment through a speaker, which enables them to navigate their surroundings with greater confidence and independence. Our research shows that a multi-robot system equipped with sensors and machine learning algorithms can assist visually impaired individuals in navigating their environment. The system delivers the user with real-time information about their surroundings, enabling them to make informed decisions about their movements. Additionally, the system can replace the need for a human assistant, providing greater independence and privacy for the visually impaired individual. The system can be improved further by incorporating additional sensors and refining the machine learning algorithms to enhance its functionality and usability. This technology has the possible to greatly advance the value of life for visually impaired individuals by increasing their independence and mobility. It has important implications for the design of future assistive technologies and robotics.

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Development and application of key technologies for Guide Dog Robot: A systematic literature review

Cited by 14 publications

References 55 publications

A survey of path planning of industrial robots based on rapidly exploring random trees

A survey of path planning of industrial robots based on rapidly exploring random trees

Untethered Microgrippers for Precision Medicine

Machine learning and Sensor-Based Multi-Robot System with Voice Recognition for Assisting the Visually Impaired

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