Computer-Aided Design and Innovation Lab

The Computer-Aided Design and Innovation Lab's research focuses on the convergence of rigid-body kinematics, machine learning, and computational design to create new methods for synthesizing mechanisms and robots. Our work develops AI-driven approaches for mechanism design, motion generation, deep generative modeling, and rehabilitation robotics, with the goal of transforming how engineers design intelligent mechanical systems. By combining theoretical kinematics with data-driven and generative methods, our research enables faster, more intuitive, and more accessible design of robotic mechanisms for applications in automation, assistive technology, STEM education, and human-centered robotics.

 

Highlights & Accomplishments
  • Created a novel Computational Framework for Machine Learning-driven Design of Robot Mechanisms

  • Invented Mobility Assist (among the “Top 10 Inventions on the Wall of Innovation”, chosen from among 2,500 inventions and 750 patents from Stony Brook faculty and innovators)

  • Co-founded Mechanismic Inc. (funded by the NSF and acquired by A+ Mobile Solutions): Launched SnappyXO, An Educational Robotics Product

  • Created MotionGen Design Software, Used in 150 Countries by 80,000+ Users

 

Research Interests
  • Computational Kinematics and Robot Design

  • ML-driven Engineering Design

  • Computer-Aided Design Software

  • Rehabilitation Medicine and Physical Therapy