Physical AI for industrial robotics

Overview

The work will focus on developing and applying Physical AI for industrial robotics, including collecting and curating robot data, developing advanced AI models, verifying and evaluating model performance on physical robots, and supporting AI-enabled industrial use cases. The work will also investigate knowledge and skill transfer across robots and applications, support sim-to-real deployment, and contribute to knowledge transfer across task instances and different robots to enable more scalable deployment of learned robotic capabilities.

Qualifications

• Pursuing an undergraduate degree in Engineering, Mathematics, or a related field.
• Strong skills in programming (e.g., C, C++, and Python).
• Familiar with graphics processing unit (GPU) parallel calculation and programming to speed up the image processing speed.
• Strong oral and written communication skills.

Research Proposal

 Key responsibilities will include but are not limited to:

• Performing data collection using tele-operation to support imitation learning.
• Create synthetic data collection using various tools for robot training.
• Support the AI model development and improvement work.
• Support on-site data collection at collaborated industrial environment with various target poses and lighting conditions through the use cases development processes.
• Support the documentation and dissemination of results.