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Achievements

Achievement: Starstruckx3Achievement: Galaxy BrainAchievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Quickdraw

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giulioturrisi/README.md

I am a postdoctoral researcher at the Dynamic Legged Systems, Istituto Italiano di Tecnologia. My research focuses on machine learning and optimal control for robot locomotion and manipulation, particularly for quadruped robots.

I received my Bachelor’s degree in Computer Engineering from the University of Pisa in 2016, and my Master’s degree in Artificial Intelligence and Robotics from Sapienza University of Rome in 2018. In 2022, I completed my PhD in Automatic Control, Bioengineering, and Operations Research at Sapienza, where I was part of the DIAG Robotics Lab.

I like open-source software, reproducible research, and teaching. Whether you’re interested in a master’s thesis, an internship, or a research collaboration, feel free to get in touch!

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 96 17

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

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

    Python 61 8

  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 527 71

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

    Mujoco Gym environment for the control of quadruped robots

    Python 80 19

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

    Extension of RSL-RL for using Morphological Symmetries in IsaacLab

    Python 33 2

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

    An IsaacLab DirectEnv for basic quadrupedal locomotion tasks, with support for multiple quadruped robots, sim-to-sim, and sim-to-real pipelines

    Python 135 13