TRACE Lab
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The Terrain Robotics Advanced Control and Experimentation (TRACE) Lab at the University of Massachusetts Lowell (UML) focuses on modeling, analysis, and control of robot locomotion, especially legged robot locomotion. Our research goal is to achieve versatile, stable, agile, and energy-efficient robot locomotion in unknown complex environments. We are also interested in applying our robotics knowledge and skills to revealing the fundamental principles of human and animal locomotion biomechanics as well as investigating robot-assisted human walking.​
We gratefully acknowledge the supports from:
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News!

  • Dr. Yan Gu receives a grant as a co-PI from NSF CHS with Drs. Holly Yanco (lead at UML), Pei-Chun Kao, and Rebecca Kramer-Bottiglio (lead at Yale). (10/2020)
  • ​​Zenan Zhu joins the TRACE Lab as a Ph.D. student! (09/2020)
  • Congrats to ​Amir Iqbal and Yuan Gao for winning the Best Student Paper Finalist at AIM 2020! (07/2020)
  • Dr. Yan Gu is interviewed by NPR's wbur about potential uses of robotics in meeting workforce needs under the pandemic. (06/2020)
  • Our lab has a Youtube channel now. (05/2020)
  • Our paper and invited session proposal have both been accepted by AIM 2020. (05/2020)
  • Our paper has been accepted by IEEE/ASME Transactions on Mechatronics. (04/2020)
  • Our paper has been accepted by International Journal of Intelligent Robotics and Applications. (02/2020)
  • Our paper has been accepted by ASME Letters in Dynamic Systems and Control. (02/2020)
  • Our two papers have been accepted by ACC 2020. (01/2020)
  • Dr. Yan Gu receives a grant as a co-PI from U.S. Army CCDC Soldier Center. (10/2019)
  • Dr. Yan Gu gives an invited talk at the Challenges and Solutions for Legged Robotics workshop during ACC 2019. (07/2019)
  • Dr. Yan Gu receives a sole-PI grant from NSF DCSD. (07/2019)
  • Our two papers on legged locomotion control have been accepted by DSCC 2019. (06/2019)
  • Our research on using 5G to remotely control legged robots is now reported in Boston Globe, CNET, Robotics Business Review, and NPR's wbur. (05/2019)
  • Dr. Yan Gu receives the Excellence in Teaching Award at UMass Lowell. (05/2019)
  • We participated in this year's Botfest. Our little robot, Darwin, made some cool friends today! (04/2019)
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  • We demonstrate our research on 5G-enabled legged robot teleoperation at Verizon's 5G lab in Cambridge, MA. (04/2019)
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  • ​Our paper and invited session proposal on legged locomotion control have both been accepted by American Control Conference. (02/2019)
  • ​​Zenan Zhu joins the TRACE Lab as an M.S. student. (02/2019)
  • Our group receives an award from Verizon and Ericsson to further our participation in  MassTLC 5G Robotics Challenge! Congratulations to Dr. Holly Yanco's research group for winning two awards in the challenge! (02/2019)
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  • Dr. Yan Gu receives a grant as a co-PI from U.S. Army CCDC Soldier Center. (02/2019)
  • ​The undergraduate research team supervised by Dr. Yan Gu, Dr. Yi-Ning Wu (Physical Therapy), and Dr. Holly Yanco (Computer Science) has won the 2nd place and the People's Choice Award in the DifferenceMaker® Francis College of Engineering Prototyping Competition at UMass Lowell! Congratulations to ​​Nick Deane (ME), Kevin Truong (ME), ​​Dan Garfinkel (ME), Pat Pang (PT), Alex Infantino (CS), Alex Barr (ME), Dennon Audette (ME), ​​​Mike Hoppe (ME), and Joe McDonald (ME)! (12/2018) 
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  • ​​Amir Iqbal joins the TRACE Lab as a Ph.D. student. (08/2018)
  • The Capstone senior design team supervised by Dr. Yan Luo and Dr. Yan Gu has won the 1st place in the Symbotic Utility Bot Competition! Congratulations to ​​​​Ciro OrigiRohr (ECE), Travis Kessler (ECE), Chunlong Huang (ME), John Wheeler (ME), and ​Stephen Halas (ECE)! (05/2018)
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  • Yuan Gao joins the TRACE Lab as a Ph.D. student. (02/2018)
  • Dr. Yan Gu joins the Mechanical Engineering Department at UMass Lowell as an Assistant Professor. (09/2017)
TRACE Lab 
Department of Mechanical Engineering
University of Massachusetts Lowell
FAL 108 Suite, 1 University Avenue, 
​Lowell, MA 01854
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Copyright by TRACE Lab 2021.
​All rights reserved.
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