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Rui Li (李瑞)

PhD (alum), Electrical Engineering and Computer Science (EECS)


Rui Li
77 Massachusetts Ave
MIT, 46-4107
Cambridge, MA 02139

Phone: (617) 834-5215
Email: rui AT mit DOT edu
Web: http://www.mit.edu/~rui


I am a co-founder at Virtulus Inc., applying computer vision and machine learning into the world of robotics. I obtained my PhD degree in June 2015 at the Department of Electrical Engineering and Computer Science (EECS) at MIT, where I worked with Professor Edward Adelson in the Perceptual Science Group. I am particularly interested in robotics, computer vision, machine learning and tactile sensing, and extremely passionate about enabling technologies.

During my PhD at MIT, I developed a compact and compliant robotic tactile sensor, called fingertip GelSight sensor, that employs computer vision and machine learning techniques. The sensor offers high sensitivity and resolution exceeding that of human fingertips, and can be potentially used as a next-generation robotic fingertip. My research work was reported in various media including MIT News, The Washington Post, TechCrunch, Gizmag, Engadget, etc. (See “In the Press” below.)

I was a recipient of the Joan and Irwin Jacobs Presidential Fellowship (2009) and the winner for MIT “Pi” Recitation Contest (2011.3.141592653589793...). In March 2011, I founded the MIT-China Innovation and Entrepreneurship Forum (MIT-CHIEF), and served as a co-president for two years. I was also a co-president for MIT Chinese Student and Scholar Association (CSSA), one of the largest international student groups at MIT.

Here is my LinkedIn page: LinkedIn

In the Press


Fingertip GelSight Sensor on Baxter Robot USB Insertion with Fingertip GelSight Sensor
MIT News: Fingertip sensor gives robot unprecedented dexterity


The Washington Post: This robot is better at inserting USB cables than you are

TechCrunch: A Unique Fingertip Sensor Helps Robots Touch The World Around Them
指尖传感器赋予机器人一双“巧手”,令其具备前所未有的灵活性

Engadget: Fingertip sensor lets robots 'see' what they're touching

Gizmodo: Fingertip Sensor Makes Robots Better (And Far Scarier)

Gizmag: GelSight sensor lets robots "see" through their hands

Phys.org: Fingertip sensor gives robot unprecedented dexterity

ScienceDaily: Fingertip sensor gives robot unprecedented dexterity

Science 2.0: GelSight: Fingertip Sensor Gives Robot Dexterity In Real Time

Ubergizmo: GelSight Sensor Allows Robots To Be More Dextrous

Geek.com: New fingertip sensor makes this robot incredibly dextrous

Laboratory Equipment: Sensor Gives Robot Greater Dexterity

Science Blog: Fingertip sensor gives robot unprecedented dexterity

R&D Mag: Fingertip sensor gives robot dexterity

iFreePress: GelSight Sensor System that will Revolutionize the Usage of Robots

China Topix: Tactile Sensor Gives Robots Novel Dexterity

Robhub: GelSight sensor measures deformation of flexible manipulator surface

Nano Werk: Fingertip sensor gives robot unprecedented dexterity

Robots Dreams: GelSight sensor gives robots touch

Trend Hunter: See-Through Robot Sensors

Live Science: Robots 'See' Objects with High-Tech Fingertip Sensor

The Geeky Globe: A new Gelsight sensor helps Robots in measuring and visualizing surfaces

ByteVerve: Gelsight: Robots Can Now Define Delicacy

SiliconRepublic: US researchers develop optical sensor that gives robot unprecedented dexterity

科学之家: 指尖传感器:机器人也能有一双巧手

机器人网: 指尖传感器:赋予机器人一双“巧手”

Selected Publications


  • Measurement of Shear and Slip with a GelSight Tactile Sensor Wenzhen Yuan, Rui Li, M.A. Srinivasan, and E.H. Adelson, IEEE International Conference on Robotics and Automation (accepted), 2015. Abstract PDF
  • Localization and Manipulation of Small Parts Using GelSight Tactile Sensing Rui Li, R. Platt Jr., Wenzhen Yuan, A. ten Pas, N. Roscup, M. A. Srinivasan, and E. H. Adelson, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014. Abstract PDF
  • Lump Detection with a GelSight Sensor Xiaodan Jia, Rui Li, M.A. Srinivasan, and E.H. Adelson, IEEE World Haptics Conference (WHC), 2013. Abstract PDF
  • Sensing and Recognizing Surface Textures Using a GelSight Sensor Rui Li and E.H. Adelson, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013. Abstract PDF
  • End-to-end Data Reliability in Optical Flow Switching R. Li, Master Thesis, MIT Department of Electrical Engineering and Computer Science, 2011. Abstract PDF
  • Model Based Adaptive Filter for Speckle Reduction with Feature Preservation in Medical Ultrasound Images R. Li, Z.X. Sun, and C.S. Zhang, Proceedings of Undergraduate Research Experience on Campus (URECA@NTU), 2009. Abstract PDF
  • Point-in-Polygon Algorithm and Index Averaging Technique Implementations in Numerical Modeling of Photonic Crystal Fibers R. Li, P. Shum, Y. Min, and J.J. Hu, Proceedings of Undergraduate Research Experience on Campus (URECA@NTU), 2008. Abstract PDF
  • Adaptive Filter for Speckle Reduction with Feature Preservation in Medical Ultrasound Images R. Li, Z. Sun, and C. Zhang, 10th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2008. Abstract PDF
  • Hardware Circuit Design and Interface for a Mobile Robot R. Li, and M.H. Lim, Proceedings of Undergraduate Research Experience on Campus (URECA@NTU), 2007. Abstract PDF

Talks and Posters


Touching is Believing: Sensing and Analyzing Touch Information with GelSight, MIT CSAIL Vision Meeting, Cambridge, MA, Oct. 28, 2014.

Localization and Manipulation of Small Parts Using GelSight Tactile Sensing, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Chicago, Illinois, Sept. 14–18, 2014.

Fingertip GelSight Sensor: A New-Generation Tactile Sensor, TCL Corporation, Shenzhen, China, April, 2014.

Sensing and Recognizing Surface Textures with a GelSight Sensor, IEEE Conference on Computer Vision and Pattern Recognition, Portland, Oregon, Jun. 23-28, 2013.

The Compact GelSight Sensor, IEEE International Conference on Computational Photography (ICCP), Cambridge, MA, Apr. 19-21, 2013.

Adaptive Filter for Speckle Reduction with Feature Preservation in Medical Ultrasound Images, the 10th Interational Conference on Control Automation, Robotics and Vision (ICARCV), Hanoi, Vietnam, Dec. 2008.

Point-in-Polygon Algorithm and Index Averaging Technique Implementations in Numerical Modeling of Photonic Crystal Fibers, the 3rd MRS-S Conference on Advanced Materials, Singapore, Feb. 2008.

Model Based Adaptive Filter for Speckle Reduction with Feature Preservation in Medical Ultrasound Images, the Exhibition for Undergraduate Research Experience on Campus (URECA), Singapore, 2008.

Point-in-Polygon Algorithm and Index Averaging Technique Implementations in Numerical Modeling of Photonic Crystal Fibers, the Exhibition for Undergraduate Research Experience on Campus (URECA), Singapore, 2007.

Hardware Circuit Design and Interface for a Mobile Robot, the Exhibition for Undergraduate Research Experience on Campus (URECA), Singapore, 2006.
 
people/rui.1457388507.txt.gz · Last modified: 2016/03/07 17:08 by rui