Ricardo Digiovanni Frumento

About Me

I am a PhD student in Computer Science at the University of South Florida specializing in robotic manipulation and grasping. Working under the guidance of Dr. Yu Sun, I am a member of the Robot Perception and Action Lab (RPAL), where I collaborate with a team of researchers on advancing the field of robotics through innovative research in reinforcement learning and control strategies. With over four years of research and teaching experience, I am passionate about contributing to the development of intelligent robotic systems.

Education

University of South Florida

• Doctor of Philosophy (PhD), Computer Science (2023 – 2028)

  Relevant Coursework:

  • Decision Making with Deep Reinforcement Learning
  • Autonomous Robots
  • Computing in Massively Parallel Systems
  • Deep Learning

• Bachelor of Science, Computer Science (2019 – 2023)

  Relevant Coursework:

  • Introduction to Artificial Intelligence
  • Introduction to Robotics
  • Image Processing Fundamentals
  • Computational Geometry

Affiliations

Member of the Robot Perception and Action Lab (RPAL) at USF.

Member of the COMPARE group, advancing open-source benchmarking in robotic manipulation.

Professional Experience

University of South Florida

Research Assistant (2023 – Present)

• Working on projects in control, planning, and problem exploration within robotics.

Teaching Assistant (2022 – Present)

• Supported teaching advanced courses and helped over 150 students improve their coding skills.
• Courses Assisted:
• Introduction to Artificial Intelligence
• Deep Learning
• Introduction to Robotics
• Automata Theory

Skills

Technical Skills

• Programming: Python, C++, C, MATLAB, Fortran
• Frameworks: PyTorch, TensorFlow, OpenCV
• Version Control: Git, GitHub
• OS: Ubuntu/Linux
• Simulation: CoppeliaSim, MuJoCo

Soft Skills

• Effective Communication
• Public Speaking
• Team Collaboration

Publications

• T. Chen, R. Frumento, et al. (2025). Benchmarking Multi-Object Grasping, in IEEE Robotics and Automation Letters, doi: 10.1109/LRA.2025.3595043.
• Z. Ye, R. Frumento & Y. Sun. (2025). Only Pick Once: Algorithms for Efficiently Picking an Exact Number of Multiple Identical Objects, IEEE Trans. Autom. Sci. Eng., doi: 10.1109/TASE.2025.3560956.
• Norton, A., Frumento, R. D., Bekris, K., Calli, B., Dollar, A., Sun, Y., & Yanco, H. (2024). Towards Standards and Guidelines for Developing Open-Source and Benchmarking Learning for Robot Manipulation in the COMPARE Ecosystem. Presented at the CoRL 2024 Workshop. OpenReview.
• Frumento, R. (2020). Dynamical Systems and Markov Chains. arXiv:2012.12442.

Events

Contact

Email: ricardofrumento@gmail.com

LinkedIn: Ricardo Digiovanni Frumento

GitHub: Ricardo Frumento