Robotics & Machine Learning Daily News2024,Issue(Feb.28) :13-14.DOI:10.1109/ACCESS.2024.3363898

Vellore Institute of Technology Researchers Focus on Robotics (Dual Mode PID Controller for Path Planning of Encoder Less Mobile Robots in Warehouse Environment)

Robotics & Machine Learning Daily News2024,Issue(Feb.28) :13-14.DOI:10.1109/ACCESS.2024.3363898

Vellore Institute of Technology Researchers Focus on Robotics (Dual Mode PID Controller for Path Planning of Encoder Less Mobile Robots in Warehouse Environment)

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Abstract

Investigators discuss new findings in robotics. According to news reporting originating from Chennai, India, by NewsRx correspondents, research stated, "Mobile robots have emerged as versatile substitutes for human labor across diverse domains, offering promising applications in surveillance, healthcare, and beyond. Fundamental to their autonomy are the core capabilities of movement, perception, cognition, and navigation." Funders for this research include Vellore Institute of Technology, Chennai. Our news correspondents obtained a quote from the research from Vellore Institute of Technology: "This research introduces a novel approach known as the Dual PID based low-cost navigation system (DPLNS), designed specifically for indoor warehouse-like environments. The primary objective of this technique is to enable seamless point-to-point traversal. This is achieved through a fusion of gyroscope correction and visual PID control mechanisms. Leveraging a strategically positioned eagle-eye perspective camera, the system gained crucial insights for navigation. To ensure the uninterrupted execution of planned trajectories, the system employs the Message Queuing Telemetry Transport (MQTT) protocol. This technology ensures smooth communication and coordination of actions. The experimental validation of the proposed strategy highlights its efficacy, positioning it as a promising solution for modern warehouse automation needs."

Key words

Vellore Institute of Technology/Chennai/India/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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