Trajectory Planning Projects for ME, MTech, Masters, MS abroad, and PhD students. These Trajectory Planning ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.

Latest Trajectory Planning Projects

  1. A Spiking Reinforcement Trajectory Planning for UAV-Assisted MEC Systems
    This project focuses on reducing energy use in drones and mobile devices that work together for edge computing. It uses a new learning method that combines brain-inspired neural networks with deep learning to plan drone movements efficiently. The proposed approach trains faster and uses fewer resources than traditional methods. It helps drones make smarter and quicker decisions while saving energy.
  2. Fairness Enhancement of UAV Systems With Hybrid Active-Passive RIS
    This project studies wireless communication using drones to connect with multiple users. It uses smart surfaces that can actively or passively reflect signals to improve coverage. The goal is to make the connection fair for all users by optimizing the drone’s path, signal direction, and surface settings. The results show that even a few active elements on the surface can greatly improve communication speed compared to fully passive surfaces.
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