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  • University College London
  • London, UK

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Sicelukwanda/README.md

Hi there, I am Sicelukwanda πŸ‘‹

I do research at the intersection between Robotics and Machine Learning, working towards deploying learning-based algorithms on robots operating in the real-world where there are hard constraints and noisy sensor data. A short list of research areas/topics I work in includes: safe reinforcement learning, generative modelling, imitation learning, and motion planning.

  • πŸ”­ I'm a PhD student at University College London, under the supervision of Prof. Marc Deisenroth.
  • πŸ“‘ I’m currently looking at ways to incorporate safety constraints into probabilistic models for planning in high-dimensional robot systems.
  • 🌱 I'm helping build a community of researchers and professionals in robotics and machine learning on the African continent. See our Robot Learning workshops: 2023 and 2024.

πŸ’¬ If you have any questions, please reach out πŸ˜ƒ!

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  1. BayesOptSoftRobotControl BayesOptSoftRobotControl Public

    Codebase for the paper "Learning Dynamic Tasks on a Large-scale Soft Robot in a Handful of Trials"

    Python 2

  2. pybullet-path-visualizer pybullet-path-visualizer Public

    A simple plotting utility for cartesian paths and standard deviation in pybullet.

    Python 1

  3. robot_learning_tutorial robot_learning_tutorial Public

    A Jax imitation learning tutorial for the Robot Learning for Africa workshop 2023

    Python 2

  4. Handmade Handmade Public

    Machine Learning Algorithms Implemented from scratch

    Jupyter Notebook