2019
DOI: 10.1109/lra.2019.2917395
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Computational Resources of Miniature Robots: Classification and Implications

Abstract: When it comes to describing robots, many roboticists choose to focus on the size, types of actuators or other physical capabilities. As most areas of robotics deploy robots with large memory and processing power, the question "how computational resources limit what a robot can do" is often overlooked. However, the capabilities of many miniature robots are limited by significantly less memory and processing power. At present, there is no systematic approach to comparing and quantifying the computational resourc… Show more

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Cited by 4 publications
(2 citation statements)
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References 74 publications
(77 reference statements)
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“…The Broadcom BCM2835 SOC on the Raspberry Pi Zero runs a ROS-supported robot controller on top of an Ubuntu OS. This places the robot's design at the C1 computing level, as per the study in [18]. While the Feather Sense is equipped with a Bluetooth module, the Raspberry Pi Zero W is equipped with an 802.11n Wi-Fi module.…”
Section: B Computing and Communicationmentioning
confidence: 99%
“…The Broadcom BCM2835 SOC on the Raspberry Pi Zero runs a ROS-supported robot controller on top of an Ubuntu OS. This places the robot's design at the C1 computing level, as per the study in [18]. While the Feather Sense is equipped with a Bluetooth module, the Raspberry Pi Zero W is equipped with an 802.11n Wi-Fi module.…”
Section: B Computing and Communicationmentioning
confidence: 99%
“…As the robot's size is limited, so is the computational power of its microcontroller, which can affect the algorithm's efficiency. Hence, when designing the algorithm, it is essential to optimize it to work within the microcontroller's limitations [21]. Furthermore, it is vital to minimize the memory requirements of the algorithm to ensure efficient use of the microcontroller's limited memory [22], [23].…”
Section: Introductionmentioning
confidence: 99%