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Related Experiment Video

Updated: Jun 18, 2026

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories
07:52

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

Published on: July 10, 2019

Retraction Note: Reinforcement learning-driven deep learning approaches for optimized robot trajectory planning

Fang Shiyu1

  • 1Shandong University of Science and Technology, Tai'an, 271019, Shandong, China. fangshiyu250213@163.com.

Scientific Reports
|June 16, 2026
PubMed
Summary

No abstract available in PubMed .

Related Experiment Videos

Last Updated: Jun 18, 2026

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories
07:52

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

Published on: July 10, 2019

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Vector Functions and Motion: Problem Solving01:30

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Accurate position tracking is fundamental to the safe and effective operation of unmanned aerial vehicles (UAVs), particularly during precision maneuvers near complex structures. In this scenario, a drone is programmed to perform a high-precision inspection of a vertical structure, starting at position ((x, y, z) = (3, 0, 0)), with an initial velocity oriented in the positive z-direction. The trajectory of the drone is governed by a time-dependent acceleration function a(t), which is predefined...

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