Mechanical Systems Control Lab
About Us
The recent research of MSC lab has focused on intelligent/autonomous mechanical systems and their interaction with humans from manufacturing (industrial robots) to transportation (autonomous driving) with synergies between model-based control methodologies with machine learning.News and Updates
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Happy Thanksgiving!
The MSC lab celebrated the 2024 Thanksgiving at Prof Tomizuka’s house. Happy Thanksgiving to everyone!
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Conference Paper Received Best Paper Award for Industrial Robotics Research
The paper Harnessing with Twisting: Single-Arm Deformable Linear Object Manipulation for Industrial Harnessing Task presented on IROS 2024 received the Best Paper Award for Industrial Robotics Research! Congratulations to all contributors of this work!
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Happy Thanksgiving!
The MSC lab celebrated the 2023 Thanksgiving at Prof Tomizuka’s house. Happy Thanksgiving to everyone! (Photo Credit to: Yuxin Chen)
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Professor Tomizuka named to National Academy of Engineering
Professor Masayoshi Tomizuka, the Cheryl and John Neerhout Jr. Distinguished Professor of Mechanical Engineering, was named to National Academy of Engineering. Professor Tomizuka studies optimal and adaptive control, digital control, signal processing, motion control, mechatronics and their applications in robotics, manufacturing, data storage devices, vehicles and human-machine systems. The NAE cited his “leadership in control of mechanical systems through innovations applied globally in industry, and education of coming generations of leaders.”
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Professor Tomizuka Received the Soichiro Honda Medal
Professor Masayoshi Tomizuka was awarded the Soichiro Honda Medal at the ASME’s 2019 Dynamic Systems and Control Conference in Park City, Utah on October 10, 2019. American Society of Mechanical Engineers established the medal in 1982 to recognize an individual for an outstanding achievement or a series of significant engineering contributions in developing improvements in the field of personal transportation. Professor Tomizuka’s citation reads: for pioneering and sustained contributions in applying modern systems and control theory to the comprehensive analysis and control algorithm development of automated vehicle lateral guidance, which has inspired further developments in the field.
Research Update
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Safe OnGO-VIC: Online Gain Optimization for Variable Impedance Control with Control Barrier Functions
We present a safe gain optimization algorithm for variable impedance control with control barrier functions. The algorithm is able to obtain the optimal impedance gain without manully tuning and avoid unwanted collisions in real-time. Check out our webiste page here.
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UrbanLoco: A New Challenge for Urban Mapping and Localization