Sensor Based Mobile Navigation Using Humanoid Robot Nao

Ariffin, Ilmi Mohd; Rasidi, Ahmad Ismat Hakam Mohamed; Yussof, Hanafiah; Mohamed, Zulkifli; Miskam, Mohd Azfar; Amin, Adam Tan Mohd; Omar, Abdul Rahman

doi:10.1016/j.procs.2015.12.319

Cited by 8 publications

(4 citation statements)

References 9 publications

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“…The responsibility of the IoT is to sense the surroundings. The responsibility for catching, shifting, and directing the shape is taken by robots [13,30,31].…”

Section: Abilities Of Iortmentioning

confidence: 99%

Approaches and Challenges in Internet of Robotic Things

et al. 2022

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The Internet of robotic things (IoRT) is the combination of different technologies including cloud computing, robots, Internet of things (IoT), artificial intelligence (AI), and machine learning (ML). IoRT plays a major role in manufacturing, healthcare, security, and transport. IoRT can speed up human development by a very significant percentage. IoRT allows robots to transmit and receive data to and from other devices and users. In this paper, IoRT is reviewed in terms of the related techniques, architectures, and abilities. Consequently, the related research challenges are presented. IoRT architectures are vital in the design of robotic systems and robotic things. The existing 3–7-tier IoRT architectures are studied. Subsequently, a detailed IoRT architecture is proposed. Robotic technologies provide the means to increase the performance and capabilities of the user, product, or process. However, robotic technologies are vulnerable to attacks on data security. Trust-based and encryption-based mechanisms can be used for secure communication among robotic things. A security method is recommended to provide a secure and trustworthy data-sharing mechanism in IoRT. Significant security challenges are also discussed. Several known attacks on ad hoc networks are illustrated. Threat models ensure integrity confidentiality and availability of the data. In a network, trust models are used to boost a system’s security. Trust models and IoRT networks play a key role in obtaining a steady and nonvulnerable configuration in the network. In IoRT, remote server access results in remote software updates of robotic things. To study navigation strategies, navigation using fuzzy logic, probabilistic roadmap algorithms, laser scan matching algorithms, heuristic functions, bumper events, and vision-based navigation techniques are considered. Using the given research challenges, future researchers can get contemporary ideas of IoRT implementation in the real world.

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“…The responsibility of the IoT is to sense the surroundings. The responsibility for catching, shifting, and directing the shape is taken by robots [13,30,31].…”

Section: Abilities Of Iortmentioning

confidence: 99%

Approaches and Challenges in Internet of Robotic Things

et al. 2022

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“…The self-autonomous navigation robot aims to reach waypoints specified by coordinates in a route starting from a start point in the environment. When the robot navigates, it will encounter obstacles or terrains that will hinder movement to the endpoint, which it needs to avoid it [2]. The employ of robots considerably increases the possibility of monitoring devices, which have evolved from a traditional function, whereby the device only detects incidents and activate alarms, to an energetic complex cooperative observation robot, which can meet with its environment and collaborate with people or with other robots [3].…”

Section: Introductionmentioning

confidence: 99%

Development of a dynamic intelligent recognition system for a real-time tracking robot

Salih

Ghazal

Mohammed

2021

IJRA

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<p>Nowadays, the development of computer vision technology help to overcome track and identify humans within a location in the complex environment through mobile robots, which gives the motivation to presents a vision-based approach to a mobile security robot. The proposed system utilizes a wireless camera to detect the objects in the field of robot view. Principle component analysis (PCA) algorithm and filters are used to implement and demonstrate the process of the images. This gives the designed system the ability to recognize objects independently from current light conditions. Frame tracking in the images uses an attention system to get an estimate of the position of a person. This estimate helps the applied camera to identify objects with changing background lighting conditions such as a fire inside a building. By using this estimate, the applied camera could identify objects with changing background lighting conditions such as a fire inside premises. The system has been tested using the MATLAB environment, and the empirical performance explains the efficiency and strongness of the suggested device.</p>

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“…Some of the focused investigations on humanoid navigation can also be considered over here. Ariffin et al 17 used a humanoid robot in a mobile robotic platform and performed sensor-based navigation of the system. Wei-guo and Yue-yang 18 analyzed the rapid walking behavior of a biped model using surface table cart scheme.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Strategy Planning of Humanoid Robots Using Glowworm-Based Optimization

et al. 2020

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SUMMARY In this paper, a novel dynamic navigational planning strategy is proposed for single as well as multiple humanoids in intricate environments on a glowworm-based optimization method. The sensory information regarding the obstacle distances and target information are supplied as inputs to the navigational model. The essential turning angle is generated as the output of the controller to avoid obstacles present in the environment and reach the target location with ease. The proposed model is certified in a V-REP simulation software, and the simulation results are authenticated in a real-time setup arranged under testing conditions.

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Sensor Based Mobile Navigation Using Humanoid Robot Nao

Cited by 8 publications

References 9 publications

Approaches and Challenges in Internet of Robotic Things

Approaches and Challenges in Internet of Robotic Things

Development of a dynamic intelligent recognition system for a real-time tracking robot

Dynamic Strategy Planning of Humanoid Robots Using Glowworm-Based Optimization

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