首页|Researchers from Dr. B.R. Ambedkar National Institute of Technology Report New S tudies and Findings in the Area of Robotics (Reduction In Trajectory Error By Ge nerating Smoother Trajectory for the Time-efficient Navigation of Mobile Robot)
Researchers from Dr. B.R. Ambedkar National Institute of Technology Report New S tudies and Findings in the Area of Robotics (Reduction In Trajectory Error By Ge nerating Smoother Trajectory for the Time-efficient Navigation of Mobile Robot)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting from Jalandhar, India, by New sRx journalists, research stated, “Robotics is intertwined with metrology, inclu ding aircraft component inspection, automotive processes, and part geometry opti mization. Optimized trajectory planning is essential for reliable robotic arm op eration and maintaining quality in inspections and geometric enhancements, as we ll as autonomous mobile robot navigation.” The news correspondents obtained a quote from the research from the Dr. B.R. Amb edkar National Institute of Technology, “Technically, a path planning is associa ted as an optimization problem that relies on various parameters such as length minimization problem, smooth trajectory planning, low time/space complexity, and computational load. While considering all these stated parameters, choosing an optimal path to reach the destination is the primary function of path planning t echniques. This research paper is focused on the implementation of adaptive bidi rectional A* (ABA*) algorithm along with new strategy of flexible controlling po ints technique (FCP) to reduce the trajectory error by generating smoother traje ctory. With the increased number of sharp turns, the wheel skidding error is gen erated that reduce the reliability of the path planning techniques by increasing the pose estimation error. By conducting multiple trials, the proposed techniqu e has been implemented, resulting in a 100% reduction in the numbe r of collisions. Furthermore, the application of the new FCP technique eliminate s all sharp turns, leading to a 38% decrease in time lag uncertain ty compared to conventional approaches.”
JalandharIndiaAsiaEmerging Technol ogiesMachine LearningRobotRoboticsDr. B.R. Ambedkar National Institute o f Technology