Skip to content
View pulver22's full-sized avatar
🤖
🤖
89 followers · 147 following

Achievements

Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Achievements

Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Highlights

  • Pro

Block or report pulver22

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. 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
pulver22/README.md

Ciao 👋 I'm Riccardo

Robotics & Autonomous Systems · Agricultural Robotics · Multi-Robot Intelligence

Senior Lecturer at the University of Lincoln (L-CAS).
I design robotic systems that operate reliably in complex outdoor environments — vineyards, orchards, and forests.

🌱 Research

I explore how aerial and ground robots collaborate to achieve long-term autonomy under uncertainty and seasonal change.

Focus areas

  • Informative path planning
  • UAV–UGV collaborative mapping
  • Long-term localisation in visually aliased environments
  • Sensor fusion for resilient autonomy

🧑‍🏫 Teaching

Hands-on robotics education through real robots, simulation, and reproducible development environments.
Supervisor of BSc, MSc, and PhD research.
Lead of student teams in international robotics competitions.

🛠 Tools

ROS · ROS2 · Python · C++ · SLAM · Reinforcement Learning · Docker · GitHub Classroom

🏔 Beyond Robotics

Runner. Raised in the Italian Alps. Builder of ideas.
Interested in thoughtful collaboration and long-term impact.

Pinned Loading

  1. QLAB QLAB Public

    Quadrotor LAnding Benchmarking (QLAB) is a simulated environment for developing and testing landing algorithms for unmanned aerial vehicles.

    Python 30 10

  2. ardrone_tf_controller ardrone_tf_controller Public

    Position controller for landing a Parrot ARDrone using ARToolkit fiducial markers.

    C++ 5 4

  3. nbs nbs Public

    Code used in the paper "Next-Best-Smell: a multi-criteria robotic exploration strategy for Radio Frequency Identification tags discovery"

    C++ 1

  4. nbs_ros nbs_ros Public

    ROS Implementation for the code used in the paper "Next-Best-Smell: a multi-criteria robotic exploration strategy for Radio Frequency Identification tags discovery"

    C++ 2

  5. gym-gazebo gym-gazebo Public

    Forked from erlerobot/gym-gazebo

    A toolkit for developing and comparing reinforcement learning algorithms using ROS and Gazebo.

    Python 7 1

  6. ros_tdlas_simulator ros_tdlas_simulator Public

    Ros node that simulate a remote gas sensor (TDLAS)

    HTML 6 4