Physical Intelligence for Robotics
This research project focuses on the development of advanced algorithms and models for physical intelligence. By integrating multimodal perception (via Apple Vision Pro), natural language understanding, and intelligent manipulations on the Mobile ALOHA platform, we aim to achieve autonomous and intelligent execution of manipulation tasks in unstructured real-world environments.
Young Robotics Team
Shengfeng Yang (PI), Jonathan Hickle, Junbin Cui, Adam Mohd shahrizan, Sardar Konurbayev, Fabricio Giusti, Gavin Forrest, Junho Yoon
Project
Title: “Fine-tuning Foundation Models for Robotic Manipulation: Advancing VLA Models through Domain-Specific Adaptation”; Source of Support: NSF ACCESS; Award Number: #CIS251342 (750,000 GPU hours); 12/2025-12/2026