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
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Created a novel Computational Framework for Machine Learning-driven Design of Robot Mechanisms
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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)
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Co-founded Mechanismic Inc. (funded by the NSF and acquired by A+ Mobile Solutions): Launched SnappyXO, An Educational Robotics Product
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Created MotionGen Design Software, Used in 150 Countries by 80,000+ Users
Research Interests
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Computational Kinematics and Robot Design
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ML-driven Engineering Design
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Computer-Aided Design Software
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Rehabilitation Medicine and Physical Therapy
