Skip to content
View Sicelukwanda's full-sized avatar
  • University College London
  • London, UK

Highlights

  • Pro

Block or report Sicelukwanda

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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!

Linkedin

Twitter Follow

Pinned Loading

  1. BayesOptSoftRobotControl BayesOptSoftRobotControl Public

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

    Python 3

  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