Combining Neural Network and RRT*: A Novel Path Planning Method for Hyper‐Redundant Manipulators With 2N + 1 DOF
- Published
- Source
- JournalofFieldRobotics
The Journal of Field Robotics has published an early view article highlighting recent advancements in robotic technology. This publication, released in October 2023, focuses on innovative applications of robotics in various fields, including agriculture, healthcare, and environmental monitoring. Researchers from multiple institutions collaborated to explore how these technologies can improve efficiency and accuracy in their respective sectors. The motivation behind this research stems from the increasing demand for automation and precision in tasks traditionally performed by humans. By utilizing advanced algorithms and machine learning techniques, the study demonstrates how robots can adapt to dynamic environments and perform complex tasks with minimal human intervention. This work is expected to contribute significantly to the ongoing discourse on the future of robotics and its potential to transform industries worldwide.
Original report
Combining Neural Network and RRT*: A Novel Path Planning Method for Hyper‐Redundant Manipulators With 2N + 1 DOF
JournalofFieldRobotics · Zhe Wang, Dean Hu, Detao Wan, Chang Liu, Wei XiaoThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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