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

• 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!)

  

  February 27, 2012

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• Tailbot nominated for Best Paper

  The MSC Lab is pleased to announce that Evan Chang-Siu was nominated for the best paper award at the Intelligent Robotics and Systems 2011 conference for "A Lizard-Inspired Active Tail Enables Rapid Maneuvers and Dynamic Stabilization in a Terrestrial Robot." His collaborative work with CiBER has also been featured in Nature.

  Please visit the following news outlets for more information:

  • UC Berkeley News Center - "Leaping lizards and dinosaurs inspire robot design"
  • IEEE Spectrum - "Dinosaur-Like Tails Make Terrestrial Mobile Robots More Agile"
  • Nature News - "Leaping lizards! Jurassic Park got it right"

  

  January 05, 2012

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• Happy New Year 2011

  The MSC Lab wraps up 2011 with a New Year's Eve party at Professor Tomizuka's house.

  

  December 30, 2011

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• Farewell Sumio Sugita-san

  Sumio Sugita-san's farewell dinner at Yusan Sushi.

  

  July 08, 2011

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• Graduation 2011

  Congratulations to the new Doctors from the MSC Lab: Joonbum Bae, Nancy Feng Dan Dong, Hoday Stearns, and Shuwen Yu.

  Also congratulations to Kan Kanjanapas and Kengo Suzuki for their completion of the Masters program.

  

  May 13, 2011

Research Update

• 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.

• UrbanLoco: A New Challenge for Urban Mapping and Localization

  

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Pagination