SIP-enabled Surveillance Patrol Robot

Tseng, Chien-Chao; Lin, Chia-Liang; Shih, Bih-Yaw; Chen, Chen-Yuan

doi:10.1016/j.rcim.2012.09.009

Cited by 22 publications

(9 citation statements)

References 31 publications

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“…Using the proposed method, the guidance robot can track a guest even when the robot loses the guest. Because the LRF is not affected by lighting conditions, the proposed method is also effective for realizing a patrol robot [39][40][41] that works at night. Finally, while this work aims to realize a robot that plays Darumasan ga Koronda, the proposed technology of person detection and tracking can be used for other games, such as the Tag [42,43].…”

Section: Resultsmentioning

confidence: 99%

Multiple player detection and tracking method using a laser range finder for a robot that plays with human

2018

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We are developing a robot that can play an outdoor game with children. In realizing such a robot, the person detection and tracking methods play an important role. In this paper, we propose methods for improving person detection and tracking using a laser range finder (LRF). A problem facing player detection using an LRF during play is that detection of a player's body sometimes fails because of the posture of the player. Thus, we propose two improvements of the conventional person detection algorithm. One is to determine the body boundary when an arm overlaps the body, and the other is to choose the most probable object as the body among the detected objects. Another problem is how to track players who are hidden by other players. We introduce a new algorithm to robustly track a player even when the player is behind other players. We conducted three experiments. In the first experiment, we investigate the performance improvement by the proposed player detection algorithm. The second experiment proves that the proposed player-tracking algorithm can robustly track a player even after the LRF has lost that player. In the last experiment, we conduct the game Darumasan ga Koronda using the developed system and confirm that the system can perform the game without large problems.

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Section: Resultsmentioning

confidence: 99%

Multiple player detection and tracking method using a laser range finder for a robot that plays with human

2018

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“…First combinations of videoconferencing systems and teleoperated robots emerged in the mid-1990s, being PRoP one of the pioneers. 3,7 Since then, robotic telepresence prototypes have evolved significantly, 8 and promising application areas have been identified, including ambient assisted living (AAL), 9 telework, 10 robotic video surveillance, 11 and remote monitoring of risky environments. 12 In AAL, the concern is focused on the safe performance of mobile robots in domestic environments and the social abilities to be delivered.…”

Section: Related Workmentioning

confidence: 99%

A web-based solution for robotic telepresence

Melendez-Fernandez

Galindo

González-Jiménez

2017

International Journal of Advanced Robotic Systems

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Robotic telepresence is an emerging technology with a great potential in applications such as elder assistance, telework, and surveillance. It relies on a combination of information and communication technologies and mobile robotics to provide a person with autonomy to move and interact in a remote environment. The application environments range from homes to factories, even large outdoor spaces, and the type of users involved in particular application contexts is also varied. That leads to a great heterogeneity in the design of the robotic platforms, communication infrastructures, and interfaces found across robotic telepresence applications. This article analyzes the sources of such heterogeneity, defines a modular architecture that provides a suitable solution for generic applications, and presents an instantiation of the architecture into a web-based solution for robotic telepresence. The main advantages of the solution presented are its open-source nature and its cross-platform compatibility. We report a pilot experience that shows how a functional robotic telepresence system based on this solution has been successfully deployed in an office environment and intensively tested by inexperienced participants over the Internet.

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“…To develop monitoring and surveillance robots for practical implementation in a home environment, a range of issues must be resolved. These include working in cluttered environments [7], the need to perform surveillance in conjunction with simultaneous localization and mapping [8], object recognition and tracking [9], integration of static and mobile surveillance systems [10], and simplifying the computing requirements whilst maintaining fully autonomous monitoring capabilities [11]. In addition, making them truly autonomous in a way that they can act in different scenarios and environments without any human intervention is a challenging task.…”

Section: Introductionmentioning

confidence: 99%

FumeBot: A Deep Convolutional Neural Network Controlled Robot

Thomas

Hedley

2019

Robotics

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This paper describes the development of a convolutional neural network for the control of a home monitoring robot (FumeBot). The robot is fitted with a Raspberry Pi for on board control and a Raspberry Pi camera is used as the data feed for the neural network. A wireless connection between the robot and a graphical user interface running on a laptop allows for the diagnostics and development of the neural network. The neural network, running on the laptop, was trained using a supervised training method. The robot was put through a series of obstacle courses to test its robustness, with the tests demonstrating that the controller has learned to navigate the obstacles to a reasonable level. The main problem identified in this work was that the neural controller did not have memory of past actions it took and a past state of the world resulting in obstacle collisions. Options to rectify this issue are suggested.

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SIP-enabled Surveillance Patrol Robot

Cited by 22 publications

References 31 publications

Multiple player detection and tracking method using a laser range finder for a robot that plays with human

Multiple player detection and tracking method using a laser range finder for a robot that plays with human

A web-based solution for robotic telepresence

FumeBot: A Deep Convolutional Neural Network Controlled Robot

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