Design and Development of Spherical Spy Robot for Surveillance Operation

Rangapur, Irfan; Prasad, Bhuneshwar; Suresh, R.

doi:10.1016/j.procs.2020.04.130

Cited by 18 publications

(6 citation statements)

References 8 publications

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“…Authors of [3] have made a spherical spy robot for surveillance operations. The robot is designed to be stealthy and maneuverable, and it is equipped with a variety of sensors, including cameras and microphones.…”

Section: Related Workmentioning

confidence: 99%

Multipurpose Surveillance Robot using Arduino Mega 2560 and Bluetooth Module HC-05

Bhuiyan,

Sabina

2024

MATEC Web Conf.

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Robots are becoming increasingly important for security and surveillance applications. This research paper presents the design and hardware implementation of a low-cost and easy-to-assemble site surveillance robot using an Arduino Mega 2560 microcontroller and a Bluetooth module HC-05. The robot is equipped with various modules and sensors, including a camera and ultrasonic sensors, for capturing images and detecting obstacles, respectively. The Arduino Mega 2560 is used to control the movement of the robot and process sensor data, while the Bluetooth module is used for wireless communication between the robot and an Android device. The robot is capable of patrolling a designated area and sending real-time surveillance footage to an Android device via Wi-Fi. The developed system was tested and evaluated to demonstrate its performance and efficiency. The results showed that the robot is able to patrol a designated area accurately and efficiently and that the real-time surveillance footage is of high quality. The system has the potential to be used in a variety of applications, such as object retrieval, security, and surveillance in residential and commercial areas and spying on certain sites.

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Section: Related Workmentioning

confidence: 99%

Multipurpose Surveillance Robot using Arduino Mega 2560 and Bluetooth Module HC-05

Bhuiyan,

Sabina

2024

MATEC Web Conf.

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“…In addition, they have a wide variety of mechanisms that allow for an effective displacement [8]. Among the uses that can be associated with this type of robot is the reconnaissance of areas in military expeditions, allowing the generation of safe spaces for soldiers [9]. Another application is extra-planetary exploration [7] since this robot is less likely to get stuck in the terrain where it moves.…”

Section: Introductionmentioning

confidence: 99%

Development and Control of a Real Spherical Robot

Schröder

Garcia

Chacón

et al. 2023

Sensors

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This paper presents the design and implementation of a spherical robot with an internal mechanism based on a pendulum. The design is based on significant improvements made, including an electronics upgrade, to a previous robot prototype developed in our laboratory. Such modifications do not significantly impact its corresponding simulation model previously developed in CoppeliaSim, so it can be used with minor modifications. The robot is incorporated into a real test platform designed and built for this purpose. As part of the incorporation of the robot into the platform, software codes are made to detect its position and orientation, using the system SwisTrack, to control its position and speed. This implementation allows successful testing of control algorithms previously developed by the authors for other robots such as Villela, the Integral Proportional Controller, and Reinforcement Learning.

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“…Thus, they are highly resistant to the rollover problems that wheeled or tracked robots suffer. Consequently, they have attracted many researchers and have been widely used in the detection of unknown environments [2], environmental monitoring [3,4], surveillance [5], and other fields [6]. Based on the single-motion mode [7][8][9], researchers have gradually developed spherical robots with multi-motion modes, such as rolling and jumping, rolling and crawling, and others [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Velocity Control of a Multi-Motion Mode Spherical Probe Robot Based on Reinforcement Learning

Cao³

et al. 2023

Applied Sciences

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As deep space exploration tasks become increasingly complex, the mobility and adaptability of traditional wheeled or tracked probe robots with high functional density are constrained in harsh, dangerous, or unknown environments. A practical solution to these challenges is designing a probe robot for preliminary exploration in unknown areas, which is characterized by robust adaptability, simple structure, light weight, and minimal volume. Compared to the traditional deep space probe robot, the spherical robot with a geometric, symmetrical structure shows better adaptability to the complex ground environment. Considering the uncertain detection environment, the spherical robot should brake rapidly after jumping to avoid reentering obstacles. Moreover, since it is equipped with optical modules for deep space exploration missions, the spherical robot must maintain motion stability during the rolling process to ensure the quality of photos and videos captured. However, due to the nonlinear coupling and parameter uncertainty of the spherical robot, it is tedious to adjust controller parameters. Moreover, the adaptability of controllers with fixed parameters is limited. This paper proposes an adaptive proportion–integration–differentiation (PID) control method based on reinforcement learning for the multi-motion mode spherical probe robot (MMSPR) with rolling and jumping. This method uses the soft actor–critic (SAC) algorithm to adjust the parameters of the PID controller and introduces a switching control strategy to reduce static error. As the simulation results show, this method can facilitate the MMSPR’s convergence within 0.02 s regarding motion stability. In addition, in terms of braking, it enables an MMSPR with random initial speed brake within a convergence time of 0.045 s and a displacement of 0.0013 m. Compared with the PID method with fixed parameters, the braking displacement of the MMSPR is reduced by about 38%, and the convergence time is reduced by about 20%, showing better universality and adaptability.

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Design and Development of Spherical Spy Robot for Surveillance Operation

Cited by 18 publications

References 8 publications

Multipurpose Surveillance Robot using Arduino Mega 2560 and Bluetooth Module HC-05

Multipurpose Surveillance Robot using Arduino Mega 2560 and Bluetooth Module HC-05

Development and Control of a Real Spherical Robot

Velocity Control of a Multi-Motion Mode Spherical Probe Robot Based on Reinforcement Learning

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