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Thesis submitted by Hira Amir and Ambar Arain , Supervised by Dr. Mohsin Memon and Co-Supervised by Yusha Bin Arif

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DropX: Simulating an Autonomous Delivery Robot (ADR) to enhance Localization Using Sensor Fusion and Reinforcement Learning πŸ€–

In Pakistan, most package deliveries are done by people, but our project suggests using Autonomous Delivery Robots (ADRs) with sensors and Reinforcement Learning (RL) to make deliveries faster and more accurate. We want to improve ADRs' ability to find their way and avoid obstacles by using better technology.

πŸ‘©β€πŸ’» Developers

  • Hira Amir (Team Lead)
  • Ambar Arain

πŸ† Supervisors

  • Dr. Mohsin Memon (Supervisor)
  • Yusha Bin Arif (Co-Supervisor)

πŸš€ Technologies

  • Reinforcement Learning
  • Sensor Fusion (GPS and IMU)

πŸ’₯ Programming Languages and Frameworks

  • Python
  • Deepbots
  • Stable-Baselines3
  • NumPy
  • Pandas
  • Matplotlib

πŸ›  Tools

  • Webots (For Simulation)

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Thesis submitted by Hira Amir and Ambar Arain , Supervised by Dr. Mohsin Memon and Co-Supervised by Yusha Bin Arif

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