Development of Affordable and Powerful Swarm Mobile Robot Based on Smartphone Android and IOIO board

Gunawan, Alexander Agung Santoso; William, .; Hartanto, Boby; Mili, Ali; Budiharto, Widodo; Salman, Afan Galih; Chandra, Natalia

doi:10.1016/j.procs.2017.10.057

Cited by 7 publications

(5 citation statements)

References 3 publications

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“…Smartphones which have been used recently use Android as an operating system. An increasingly affordable Android smartphone which can be purchased by almost everyone as a tool to communicate (Gunawan, 2017). Smartphone base Android operating system also can support our activities effectively in everyday life.…”

Section: M-learning Based On Androidmentioning

confidence: 99%

Collaboration TPS Learning Model and m-Learning Based on Android for Understanding of Trigonometry Concepts with Different Cognitive Style

Jelatu¹,

Kurniawan²,

Kurnila³

et al. 2019

INT J INSTRUCTION

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This research aimed to examine the effect of collaboration Think Pair Share (TPS) Leaning Model and m-Learning based on Android on the understanding of trigonometry concepts and to investigate the interaction between collaborative learning and cognitive style on the understanding of trigonometry concepts. This research involved 80 pre-service teachers of Mathematics Department at STKIP Santu Paulus Ruteng, Province of East Nusa Tenggara, Indonesia. The quasiexperimental research with control class without pre-test was done. Before the experiment, the Group Embedded Figures Test (GEFT) was used to identify students cognitive styles either Field-Dependent (FD) or Field-Independent (FI). The research data were obtained from a test consisting of five questions to measure students' understanding of trigonometry concepts. The data were then analyzed using two-way ANOVA. The results of the research show that 1) the collaboration of TPS Leaning Model and m-Learning based on Android leads to the higher achievement of the students on the understanding of trigonometry concepts if compared to students in conventional groups (expository). 2) there was no interaction effect between the collaborative learning and cognitive style of students' understanding of trigonometry concepts.

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Section: M-learning Based On Androidmentioning

confidence: 99%

Collaboration TPS Learning Model and m-Learning Based on Android for Understanding of Trigonometry Concepts with Different Cognitive Style

Jelatu¹,

Kurniawan²,

Kurnila³

et al. 2019

INT J INSTRUCTION

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“…The next parts of this study will explore the theoretical framework, methodology, and experimental data, therefore making a valuable contribution to the continuing debate on the intelligent control of electric vehicle drives utilizing swarm robotics. [31][32][33][34] 3 Methodology…”

Section: Finalization Of Literature Reviewmentioning

confidence: 99%

Intelligent Control of Electric Vehicle Drives using Swarm Robotics

Usanova,

Kumar,

Ikram

et al. 2024

E3S Web Conf.

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This study investigates the incorporation of swarm robotics into the control mechanism of electric vehicles (EVs), introducing an innovative intelligent control framework that utilizes the concepts of decentralized decision-making. The research entails a methodical inquiry that encompasses the design of system architecture, the creation of a model for swarm robotics, the modeling of electric vehicle drive, the integration of swarm robotics with EV control, the development of algorithms for intelligent control, and the execution of real-world tests. The fleet of electric cars, propelled by a collective of independent robotic entities, displayed remarkable flexibility in adjusting to fluctuating surroundings. Findings demonstrated disparities in operating duration, distance traversed, mean speed, and energy expenditure during several iterations, highlighting the system’s adeptness in promptly reacting to instantaneous inputs. Significantly, the swarm-propelled electric cars successfully attained varied operating durations, showcasing the system’s adaptability in accommodating environmental dynamics. The swarm-driven system demonstrated its navigation effectiveness by effectively covering various distances, highlighting its versatility and extensive coverage capabilities. The system’s ability to effectively balance energy economy and performance is shown by the collective regulation of average velocity. The energy consumption study demonstrated the system’s efficacy in optimizing energy use, with certain experiments showing significant savings. Percentage change studies have yielded valuable insights into the comparative enhancements or difficulties seen in each indicator, so illustrating the influence of decentralized decision-making on operational results. This study is a valuable contribution to the ever-changing field of intelligent transportation systems, providing insight into the immense potential of swarm-driven electric cars to completely transform sustainable and adaptable transportation. The results highlight the remarkable flexibility and optimization skills of swarm robotics in the management of electric vehicles, paving the way for future advancements in the quest for intelligent, energyefficient, and dynamically responsive transportation solutions.

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“…Android has recently become the operating system of choice for most Indonesian students' smartphones [23]. It is affordable because they can be purchased as a means of communication by almost anyone [24]. Various platforms, such as mobile learning application, can be installed on the Android system.…”

Section: Android-based Mobile Learningmentioning

confidence: 99%

Adventuring Physics: Integration of Adventure Game and Augmented Reality Based on Android in Physics Learning

Rizki

Saphira

Alfarizy

et al. 2023

Int. J. Interact. Mob. Technol.

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One of the difficulties in physics learning is the low motivation to learn because physics materials are considered complex, boring, and abstract for students. Therefore, this research developed an Augmented Reality (AR)-integrated game application "Adventuring Physics" based on android that can create more fun physics learning and provide concept visualization on abstract materials so that they become easier for students to understand. This study aims to develop a valid and practical application of Adventuring Physics games on physics learning. This research uses Research and Development (R&D) design to develop the application. This application has two main features: 'play games' and 'augmented reality'. Furthermore, the game's concept in this application is adapted to the physics materials. Meanwhile, the AR feature in this application can create visualizations in the form of 3D image projections of the material. The results of the validity assessment show that this application is declared valid, feasible, and reliable. In addition, the results of the practicality assessment show that this application is very practical. Thus, the app is worth applying in physics learning. This research has implications as an application of Adventuring Physics that can motivate students to learn physics, apply digital technology in education, and apply it to physics learning.

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Development of Affordable and Powerful Swarm Mobile Robot Based on Smartphone Android and IOIO board

Cited by 7 publications

References 3 publications

Collaboration TPS Learning Model and m-Learning Based on Android for Understanding of Trigonometry Concepts with Different Cognitive Style

Collaboration TPS Learning Model and m-Learning Based on Android for Understanding of Trigonometry Concepts with Different Cognitive Style

Intelligent Control of Electric Vehicle Drives using Swarm Robotics

Adventuring Physics: Integration of Adventure Game and Augmented Reality Based on Android in Physics Learning

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