Communication Quality Analysis for Remote Control of a Differential Drive Robot Based on iPhone Interface

Jung, Hahmin; Kim, Yeonkyun; Kim, Dong Hun

doi:10.1007/978-3-642-24106-2_37

Cited by 8 publications

(3 citation statements)

References 6 publications

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“…A camera in a smartphone was used to detect landmarks such as QR code for localization and navigation of mobile robot in . Sensors of a smartphone were used in mobile robot navigation in Jung, Kim, & Kim, 2011; Walky Robot: Operation Method for a Bipedal Walking Robot through Personalized Gestures Expression of Fingers). Unlike other approaches mentioned above, the proposed system in this paper utilizes a smartphone as a main processor, the brain of a robot, to process computationally expensive tasks.…”

Section: Related Workmentioning

confidence: 99%

Indoor Localization and Navigation for a Mobile Robot Equipped with Rotating Ultrasonic Sensors Using a Smartphone as the Robot's Brain

Lim

Lee

Tewolde

et al. 2016

International Journal of Handheld Computing Research

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Identifying the current location of a robot is a prerequisite for robot navigation. To localize a robot, one popular way is to use particle filters that estimate the posterior probabilistic density of a robot's state space. But this Bayesian recursion approach is computationally expensive. Most microcontrollers in a small mobile robot cannot afford it. The authors propose to use a smartphone as a robot's brain in which heavy-duty computations take place whereas an embedded microcontroller on the robot processes rudimentary sensors such as ultrasonic and touch sensors. In their design, a smartphone is wirelessly connected to a robot via Bluetooth by which distance measurements from the robot are sent to the smartphone. Then the smartphone takes responsible for computationally expensive operations like executing the particle filter algorithm. In this paper, the authors designed a mobile robot and its control architecture to demonstrate that the robot can navigate indoor environment while avoiding obstacles and localize its current position.

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Section: Related Workmentioning

confidence: 99%

Indoor Localization and Navigation for a Mobile Robot Equipped with Rotating Ultrasonic Sensors Using a Smartphone as the Robot's Brain

Lim

Lee

Tewolde

et al. 2016

International Journal of Handheld Computing Research

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show abstract

“…With the assistance of a QR-code, an inertial measurement unit (IMU)based robot localization method was introduced in [13]. The quality of communication was analyzed for remote control of a robot using an iPhone in [14]. An Android-based mobile robotic platform was proposed and demonstrated using a real research problem [15].…”

Section: Introductionmentioning

confidence: 99%

“…An Android-based mobile robotic platform was proposed and demonstrated using a real research problem [15]. However, most of the aforementioned approaches simply used a smartphone to add a simple feature, such as a remote controller [11], [14], an additional computing tool [13], [15], and a sensor package [12] to remove the necessity of additional expensive sensors.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Network Robotic Framework Using a Smartphone-Based Platform

et al. 2019

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With recent advances in robotics along with sensor technologies, robots have richer features and can be used in more diverse applications. However, onboard microcontrollers in robots often take full responsibility for processing data acquired from sensors, controlling actuators, and other tasks. This prohibits us from implementing complex algorithms in microcontrollers. To address this issue, we present a novel design of a network robotic framework using a smartphone-based robotic platform. The design was implemented using a smartphone as a network bridge to distribute computationally burdensome tasks into multiple networked computational resources, as well as, a sensor package that allows the mobile robot to navigate. One of the most practical benefits derived from the outsourced computations is the simplicity in a robot's design. This provides a sturdy robot that consumes less power. With interaction capabilities to networked resources, more diverse robotic applications can be developed. To demonstrate the feasibility of the proposed network robotic framework, several experiments were conducted for indoor localization and navigation using a novel smartphone-based robotic platform.

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Indoor localization and navigation for a mobile robot equipped with rotating ultrasonic sensors using a smartphone as the robot's brain

Lim

Lee

Tewolde

et al. 2015

2015 IEEE International Conference on Electro/Information Technology (EIT)

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Communication Quality Analysis for Remote Control of a Differential Drive Robot Based on iPhone Interface

Cited by 8 publications

References 6 publications

Indoor Localization and Navigation for a Mobile Robot Equipped with Rotating Ultrasonic Sensors Using a Smartphone as the Robot's Brain

Indoor Localization and Navigation for a Mobile Robot Equipped with Rotating Ultrasonic Sensors Using a Smartphone as the Robot's Brain

Design and Implementation of a Network Robotic Framework Using a Smartphone-Based Platform

Indoor localization and navigation for a mobile robot equipped with rotating ultrasonic sensors using a smartphone as the robot's brain

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