Development of a Mobile Robot: Robotic Guide Dog for Aid of Visual Disabilities in Urban Environments

Bruno, Diego Renan; Assis, Marcelo Henrique de; Osório, Fernando Santos

doi:10.1109/lars-sbr-wre48964.2019.00026

Cited by 14 publications

(6 citation statements)

References 5 publications

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“…Voice recognition is possible. At the 2019 Latin American Robotics Symposium, Diego Renan Bruno proposed to develop a mobile robot platform that can avoid obstacles for the visually impaired [4]. Similarly, in construction a method has been proposed that uses deep learning-based 3D semantic segmentation to train a robot dog to model and monitor construction site scaffolding [5].…”

Section: Closer To People's Dailymentioning

confidence: 99%

Application of Deep Learning in Algorithm Design

Jiang

2023

ACE

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Deep learning has recently subverted algorithm design ideas in one and one fields, such as speech recognition, image classification, and text notification, by forming a model that begins with training data, goes through an end-to-end model, and then a new mode for direct output to obtain the final result. This not only makes everything easier, but because each layer in deep learning can tune itself for the final task, eventually cooperating between the layers, it can greatly improve task accuracy. This paper primarily introduces what deep learning is, the deep learning principle, and the application of deep learning in people's lives. This paper analyzes and clarifies the future development direction of deep learning and its practical application in many different fields, so as to offer some references for future studies.

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Section: Closer To People's Dailymentioning

confidence: 99%

Application of Deep Learning in Algorithm Design

Jiang

2023

ACE

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“…In the beginning, guiding human was implemented mostly with wheeled robots as the mobile platform [9]- [11], which had limitations in complex terrain. With the development of robotic mobile platforms, footed robots [7], [12] and drones [13], [14] are also used as guiding humans with more flexible movements and the potential to work in complex environments. However, the latter has weak load capacity that leads to limited installation of sensor modules.…”

Section: A Related Workmentioning

confidence: 99%

Quadruped Guidance Robot for the Visually Impaired: A Comfort-Based Approach

Chen¹,

Xu²,

Jian³

et al. 2022

Preprint

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A quadrupedal guidance robot that can guide people and avoid various obstacles, could potentially be owned by more visually impaired people at a fairly low cost. Most of the previous guiding systems treat the robot as the majority without fully considering the human response behavior and comfort, and the human is more like an appendage being dragged by the robot. This may lead to less accurate guiding of the human and the force experienced by the human may also undergo large changes. In this paper, we propose a novel guidance robot system with a comfort-based concept. We design a leash containing an elastic rope and a thin string, and use a motor to adjust the length of the string to ensure comfort. We use the force-based human motion model to plan the forces experienced by the human. Afterward, the direction and magnitude of the force are controlled by the motion of the robot, and the rotation of the motor, respectively. This allows humans to be guided safely and more comfortably to the target position in complex environments. The system has been deployed on Unitree Laikago quadrupedal platform and validated in realworld scenarios. (Video 1 ) † indicates equal contribution.

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“…In this case, a 3D point map is generated through geometric projections and then converted to a 2D distance map. Neurogenetic algorithms have been tested in several studies [9], [10], [11] using the Gilbert-Johnson-Keerthi algorithm and the Participle Swarm Optimization algorithm. The first one is used to determine the distance between two convex sets.…”

Section: A Algorithmsmentioning

confidence: 99%

Multi-Path Routing Algorithm for Inclusive Mobility in an Urban Environment

Machado

Paiva

Pereira

2022

2022 IEEE International Smart Cities Conference (ISC2)

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The concept of smart city is frequently used nowadays to refer to the level of integration of cities with citizen services. Mobility and navigation are some examples. When considering disabled users, in a temporary or permanent way, the challenges to provide such services in an efficient way are even bigger. This paper is an extension of a previous work where a mobile application to recommend the most suitable route for citizens was implemented with both Dijkstra and A-Star algorithms. The presented work describes a multi-path approach considering the user might want to choose several destinations in the mobile application and obtain the most suitable route that goes through all of them. Results are presented using the Genetic and the Simulated Annealing Algorithms. Both were evaluated with 100 runs and 2, 4, 8 and 16 destinations. The average algorithm execution time, standard deviation, median value, maximum and minimum execution times were assessed. The Simulated Annealing Algorithm presented better results and always suggested the shorter, or equal, path when comparing to the Genetic Algorithm.

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Development of a Mobile Robot: Robotic Guide Dog for Aid of Visual Disabilities in Urban Environments

Cited by 14 publications

References 5 publications

Application of Deep Learning in Algorithm Design

Application of Deep Learning in Algorithm Design

Quadruped Guidance Robot for the Visually Impaired: A Comfort-Based Approach

Multi-Path Routing Algorithm for Inclusive Mobility in an Urban Environment

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