Robot docking station for automatic battery exchanging and charging

Wu, Yi‐Cheng; Teng, Ming-Chang; Tsai, Yi-Jeng

doi:10.1109/robio.2009.4913144

Cited by 8 publications

(3 citation statements)

References 7 publications

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“…Ref. [3] presented a novel design of a robotic docking station for automatic battery exchange and charging. Furthermore, it lessens the computational burden on the drone's embedded system, consequently reducing power consumption.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Object Localization Using a Fuzzy Controller for a Vision-Based Drone

Wang,

Lin,

Chuang

2024

Inventions

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This study proposes a drone system with visual identification and tracking capabilities to address the issue of limited communication bandwidth for drones. This system can lock onto a target during flight and transmit its simple features to the ground station, thereby reducing communication bandwidth demands. RealFlight is used as the simulation environment to validate the proposed drone algorithm. The core components of the system include DeepSORT and MobileNet lightweight models for target tracking. The designed fuzzy controller enables the system to adjust the drone’s motors, gradually moving the locked target to the center of the frame and maintaining continuous tracking. Additionally, this study introduces channel and spatial reliability tracking (CSRT) switching from multi-object to single-object tracking and multithreading technology to enhance the system’s execution speed. The experimental results demonstrate that the system can accurately adjust the target to the frame’s center within approximately 1.5 s, maintaining precision within ±0.5 degrees. On the Jetson Xavier NX embedded platform, the average frame rate (FPS) for the multi-object tracker was only 1.37, with a standard deviation of 1.05. In contrast, the single-object tracker CSRT exhibited a significant improvement, achieving an average FPS of 9.77 with a standard deviation of 1.86. This study provides an effective solution for visual tracking in drone systems that is efficient and conserves communication bandwidth. The validation of the embedded platform highlighted its practicality and performance.

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Section: Introductionmentioning

confidence: 99%

Real-Time Object Localization Using a Fuzzy Controller for a Vision-Based Drone

Wang,

Lin,

Chuang

2024

Inventions

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“…Home robots, particularly vacuum cleaning devices, generally recharge automatically using various systems, with the robot finding the recharge station using vision [1] or infrared LEDs [2]. Other automatic charging methods have been proposed to allow robots to intake power or replace a charged battery autonomously [3,4]. Such methods offer a reduced time required for charging, but current mechanisms are complicated and unreliable.…”

Section: Introductionmentioning

confidence: 99%

A Robot System Maintained with Small Scale Distributed Energy Sources

Kim

Moon

2019

Energies

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An energy autonomy system is sustained by energy from independent and distributed sources. This paper presents a robot system that obtains energy from renewable energy sources distributed over a large area with limited storage capacity. We constructed a linearized charge model to estimate the required energy node capacity and distribution for the robot to survive. For a robot to obtain energy from an energy source, it must be able to recognize the energy node and able to receive energy reliably. We used wireless power transfer to solve conventional contact charging problems, such as mechanical complexity and unstable contact, and image information was used to recognize the energy nodes and align the transmission coils accurately. A small scale renewable energy source was constructed and a charge experiment was conducted to verify the proposed autonomy system feasibility.

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“…However, the non-trivial and fastest charging solution involves a docking station with a robotic arm. In [43,44], an arm is used to swap out batteries mechanically.…”

Section: Dock -Deploy -Recharge Frameworkmentioning

confidence: 99%

Multiple UAVs for synchronous-shared tasks and longterm autonomy

Diddi¹

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Robot docking station for automatic battery exchanging and charging

Cited by 8 publications

References 7 publications

Real-Time Object Localization Using a Fuzzy Controller for a Vision-Based Drone

Real-Time Object Localization Using a Fuzzy Controller for a Vision-Based Drone

A Robot System Maintained with Small Scale Distributed Energy Sources

Multiple UAVs for synchronous-shared tasks and longterm autonomy

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