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.Recent Awards
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Graduation 2012
Congratulations to the new Doctors from the MSC Lab: Sanggyum Kim, Wenjie Chen, and Pedro Reynoso Mora. Also congratulations to Wenlong Zhang, Yizhou Wang, and Omar Abdul-hadi for their completion of the Masters program. (Photo credits: Evan Chang-Siu)
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3rd Place at Big Ideas
Congratulations to the PikaPen team for winning 3rd place in the Information Technology for Society category of this year's Big Ideas Competition!
Please visit the following news outlets for more information:
- CITRIS News - "Big Ideas winners announced for 2012"
- University of California Research - "Turning big ideas into solutions"
(Pictured from left to right: Dominick Lim, Matthew Brown, Raechel Tan, Wenjie Chen, Jonathan Beard, Evan Chang-Siu)
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Cal Day 2012
The MSC Lab welcomed many visitors on Cal Day! (Photo credits: Wenlong Zhang)
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MSC Lab Renovation
The MSC Lab is pleased to announce that the renovation of our office in 2103 Etcheverry is finally complete! Our lab members dedicated many hours of labor assembling furniture and organizing journals. We now have all-new desks and chairs, in addition to new paint and carpet. Check out the photos below or stop by sometime to see for yourself!
(Photo credits: Evan Chang-Siu)
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UC Berkeley and Keio University 1st International Workshop
Yesterday we welcomed Prof. Katsura and his research group from Keio University for the 1st International Workshop between UC Berkeley and Keio University. We heard 10 great speakers give presentations on their research. We then wrapped up the day with a pizza party in our newly renovated office. (Pictures of our new office coming soon!)
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