Open source and open hardware mobile robot for developing applications in education and research

Betancur-Vásquez, D.; Mejia-Herrera, M.; Botero-Valencia, Juan S.

doi:10.1016/j.ohx.2021.e00217

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…It also features a 32 KB flash memory. Several hardware-based projects like [37] , [38] , [39] have successfully used this board. The microcontroller was programmed with the Arduino development environment (Arduino IDE), and we used free Adafruit libraries that are based on the manufacturer’s specifications for data extraction.…”

Section: Hardware Descriptionmentioning

confidence: 99%

CYCLOPS: A cyclists’ orientation data acquisition system using RGB camera and inertial measurement units (IMU)

Arias-Correa,

Robledo,

Londoño

et al. 2024

HardwareX

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Section: Hardware Descriptionmentioning

confidence: 99%

CYCLOPS: A cyclists’ orientation data acquisition system using RGB camera and inertial measurement units (IMU)

Arias-Correa,

Robledo,

Londoño

et al. 2024

HardwareX

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“…To justify the choice of an industrial robot, we will use the Hierarchy Analysis Method (HAI) [27,30,33][ [24][25][26]. This method consists of building hierarchies, where at the top is the goal (in our case, an industrial robot), in the middle are the criteria for choosing a robot (E21-technical indicators, E22maintenance of the robot and E23 -economic indicators) and at the bottom level alternatives are presented to achieve the set targets (A1 -Eidos Robotics (ER) industrial robot, A2 -KUKA industrial robot, A3 -FANUC industrial robot).…”

Section: Choosing An Industrial Robotmentioning

confidence: 99%

Development of a Robotic Complex for the Manufacture of Parts Used in Civil Engineering

Afanaseva,

Tulyakov,

Romashin

et al. 2023

Challenges and Advancements in Civil Engineering

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The article proposes a methodology for the development of a robotic complex for the manufacture of building parts. An analysis was carried out to select the most preferable option for the layout of the robotic complex and the option was selected using the method of the resulting quality indicator, consisting of an industrial floor robot, a mechatronic lathe and a storage device. Requirements for the manufacture of parts using the SolidWorks computer-aided design system (finite element method). The optimal robotic device was selected using the hierarchy analysis method, which could perform tasks related to loading and unloading parts into the machine. Auxiliary equipment was selected for the safe operation of the robotic complex - sensors and protective columns that would meet the standards of modern production of parts. Graphic materials were developed for a ready-made robotic complex consisting of a floor robot, a mechatronic lathe and a storage device, taking into account safety precautions at the workplace.

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“…Most available open-source, low-cost platforms are still limited in their functions and features, i.e., they are commercially not available, do not match the required payloads for logistic tasks, or cannot be adapted. For example, while [15], [2], and [16],are inexpensive, they cannot be used in day-to-day tasks that require transporting materials of high loads of 5kg or more.…”

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confidence: 99%

O2S: Open-source open shuttle

Linus¹,

Clemens²,

Bartsch³

et al. 2022

Preprint

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Currently, commercially available intelligent transport robots that are capable of carrying up to 90kg of load can cost $5,000 or even more. This makes real-world experimentation prohibitively expensive, and limiting the applicability of such systems to everyday home or industrial tasks. Aside from their high cost, the majority of commercially available platforms are either closed-source, platform-specific, or use difficult-to-customize hardware and firmware. In this work, we present a low-cost, open-source and modular alternative, referred to herein as "open-source open shuttle (O 2 S)". O 2 S utilizes off-the-shelf (OTS) components, additive manufacturing technologies, aluminium profiles, and a consumer hoverboard with high-torque brushless direct current (BLDC) motors. O 2 S is fully compatible with the robot operating system (ROS), has a maximum payload of 90kg, and costs less than $1500. Furthermore, O 2 S offers a simple yet robust framework for contextualizing simultaneous localization and mapping (SLAM) algorithms, an essential prerequisite for autonomous robot navigation. The robustness and performance of the O 2 S were validated through real-world and simulation experiments. All the design, construction and software files are freely available online under the GNU GPL v3 license at https://doi.org/10.17605/OSF.IO/K83X7. A descriptive video of O 2 S can be found at https://osf.io/v8tq2.

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Open source and open hardware mobile robot for developing applications in education and research

Cited by 5 publications

References 19 publications

CYCLOPS: A cyclists’ orientation data acquisition system using RGB camera and inertial measurement units (IMU)

CYCLOPS: A cyclists’ orientation data acquisition system using RGB camera and inertial measurement units (IMU)

Development of a Robotic Complex for the Manufacture of Parts Used in Civil Engineering

O2S: Open-source open shuttle

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