Cross Giannetto is a student at Moorestown High School in the United States. He has served as a speaker for the Moorestown Rotary Club, is a member of the Moorestown Honours and Services Society, and has been recognised as a National Merit qualifier. He received the Moore Arts Award for Technical Theatre and is the Electrical and Build Team Lead for his school’s robotics team.
Cross’s research paper, Reservoir Computing Encodes Physical Adaptations for Reinforcement Learning, has been accepted at the IEEE International Conference on Robotics and Automation (ICRA 2025), one of the leading global conferences in robotics. The study presents a framework that combines Reservoir Computing with the FORCE learning rule to improve the adaptability of reinforcement learning policies across different robotic systems.
The IEEE International Conference on Robotics and Automation (ICRA 2025) brings together researchers and professionals from around the world to share advances in robotics and automation. The conference provides a platform for emerging research across areas including robot learning, intelligent systems, control, and robotic applications.
Congratulations to Cross on this achievement!
