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Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Starstruckx2

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giulioturrisi/README.md

I am a postdoctoral researcher at Dynamic Legged Systems Lab, Istituto Italiano di Tecnologia. My research focuses on Machine Learning methods and Optimal Control for robot locomotion and manipulation.

I obtained my Bachelor’s degree in Computer Engineering from the University of Pisa in 2016, followed by a Master’s degree in Artificial Intelligence and Robotics from Sapienza University of Rome in 2018. I later began my PhD in Automatic Control, Bioengineering, and Operations Research, at the same university, joining the DIAG Robotics Lab, and completed it in 2022.

I am passionate about open-source software/research, and teaching. I’m always happy to connect—feel free to reach out!

Contact: turrisigiulio@gmail.com Other sites: Google Scholar - Linkedin

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  1. Differential-Drive-Robot Differential-Drive-Robot Public

    Path planning and control algorithms for a differential drive robot using ROS2

    Python 89 15

  2. Self-Balancing-Robot Self-Balancing-Robot Public

    Control algorithms for a self balancing robot (two wheeled inverted pendulum) using ROS2

    Python 57 6

  3. iit-DLSLab/Quadruped-PyMPC iit-DLSLab/Quadruped-PyMPC Public

    A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax)

    Python 430 56

  4. iit-DLSLab/gym-quadruped iit-DLSLab/gym-quadruped Public

    Mujoco Gym environment for the control of quadruped robots

    Python 68 18

  5. iit-DLSLab/morphosymm-rl iit-DLSLab/morphosymm-rl Public

    Extension of RSL-RL for using Morphological Symmetries in IsaacLab

    Python 26 1

  6. iit-DLSLab/basic-locomotion-dls-isaaclab iit-DLSLab/basic-locomotion-dls-isaaclab Public

    An IsaacLab extension from DLS for basic locomotion tasks on multiple quadruped robots, featuring sim-to-sim and sim-to-real pipelines along with a set of RL optimization tricks.

    Python 48 4