solonso / mct461-nonlinear-mechatronics-system-kalman-filter-analysis

Kalman filtering is a powerful technique for estimating the state of nonlinear mechatronics systems from noisy measurements. Kalman filters have a wide range of applications in robotics, vehicle control, and aircraft control.

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Here are some ideas to get you started:

• 🔭 I’m working on robot (aerial and wheeled) navigation and manipulator control
• 🌱 I’m learning Meta-Reinforcement learning for robotics applications
• 👯 I’m looking to collaborate on exciting robotics projects that push the boundaries of automation and AI.
• 🤔 I appreciate any help in advancing my knowledge in reinforcement learning and robotics path planning.
• 💬 Ask me about Robotics Control, Navigation, and Manipulation.
• 📫 How to reach me: feel free to email me at [email protected]
• 😄 Pronouns: He/His/Him
• ⚡ Fun facts: Did you know that one of the earliest known examples of robotics is the Antikythera Mechanism?
  • It is also known as the world's first analog computer and was created in ancient Greece.
  • Today, machines are capable of dealing with their environment and making decisions just like humans!
  • It's fascinating to see how robotics has evolved since then.⚙️🧰💻

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