# Submissions for: Multi-UAV Path Planning for Urban Air Mobility
|#| Submission | Links |
|-|-|-------------------------------------------|
|1|[Multi-UAV Urban Air Mobility Path Planning and Avoidance](https://github.com/Hechaoqi-byte/Multi-UAV-Path-Planning-for-Urban-Air-Mobility)
This project develops a comprehensive system for multi-UAV logistics in urban environments, featuring 3D path planning, task allocation, dynamic obstacle avoidance, and sensor fusion for real-time tracking.
**Authors:** Chaoqi He, Gao Shiqi, Song Hong
**Affiliation:** Shanghai Jiao Tong University
**Submission Date:** 2025-12-01|![]()
[](https://github.com/Hechaoqi-byte/Multi-UAV-Path-Planning-for-Urban-Air-Mobility)
[](https://matlab.mathworks.com/open/github/v1?repo=Hechaoqi-byte/Multi-UAV-Path-Planning-for-Urban-Air-Mobility)
[](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Drones.md) [](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Robotics.md)|
|2|[Multi-UAV Path Planning for Urban Air Mobility](https://github.com/HamzaSaddour/Path-planning-for-Multi-UAV-.git)
This project develops an enhanced RRT*-based algorithm for 3D multi-UAV path planning in urban environments, incorporating collision avoidance via pseudo-obstacles and local replanning, validated on real-world urban maps.
**Authors:** Hamza Saddour
**Affiliation:** Imperial College London
**Submission Date:** 2024-10-02|![]()
[](https://github.com/HamzaSaddour/Path-planning-for-Multi-UAV-.git)
[](https://matlab.mathworks.com/open/github/v1?repo=HamzaSaddour/Path-planning-for-Multi-UAV-)
[](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Drones.md) [](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Robotics.md)|
|3|[Urban Multi-UAV Path Planning and Dynamic Task Reallocation](https://github.com/lovesh1711/Multi-UAV-Path-Planning-for-Urban-Air-Mobility)
This project develops Two Step Interplanner algorithms, including one with conflict resolution, for efficient multi-UAV path planning in urban delivery scenarios, further exploring dynamic task reallocation.
**Authors:** Lovesh Goyal
**Affiliation:** Visvesvaraya National Institute of Technology
**Submission Date:** 2024-04-29|![]()
[](https://github.com/lovesh1711/Multi-UAV-Path-Planning-for-Urban-Air-Mobility)
[](https://matlab.mathworks.com/open/github/v1?repo=lovesh1711/Multi-UAV-Path-Planning-for-Urban-Air-Mobility)
[](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Drones.md) [](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Robotics.md)|