Contact Dr. Cang Ye
Phone:(804) 828-0346
Google Voice: (501) 237-1818
Fax: (804) 828-2771
Email: cye@vcu.edu
Laboratory
Dept. of Computer Science
Virginia Commonwealth University
70 S. Madison Street, RM 2339
Richmond, VA 23284
Office
Dept. of Computer Science
Virginia Commonwealth University
70 S. Madison Street, RM 2329
Richmond, VA 23284
Robotics Laboratory
Department of Computer Science, College of Engineering
Virginia Commonwealth University
© 2016 Dr. Ye's LAB. ALL RIGHTS RESERVED.
Welcome to Dr. Cang Ye’s Home Page
Dr. Ye is a Professor in the Department of Computer Science at Virginia Commonwealth University. He was a Professor in the Department of Systems Engineering at the University of Arkansas at Little Rock (UALR). He got the B.Eng. and M.Eng. degree from the Department of Precision Machinery and Precision Instrument, the University of Science and Technology of China, Hefei, Anhui, P. R. China and Ph.D. degree in Electrical and Electronic Engineering from the University of Hong Kong. He was a Research Fellow at the Mobile Robotics Lab of the University of Michigan, Ann Arbor, MI. Since 2003, He was a research faculty at the same university. In 2005, he became a faculty member at UALR. Dr. Ye is a Fellow of the American Institute for Medical and Biological Engineering, a senior member of IEEE, a member of ACM, and a member of IEEE SMC Technical Committee on Robotics and Intelligent Sensing.
Dr. Ye's group works on creating robots and robotic assistive devices for people with visual/physical disabilities and developing algorithms to allow these robots and devices to interact with their environments, collaborate with the human users in task accomplishments, and learn from the human through interaction with the users. His research aims to improve the quality of life of the disabled and the elderly through the use of co-robots in their daily life. His team is also developing computer vision methods for navigation of autonomous mobile robots/vehicles.
BioMedical Technology Exhibition
Dr. Ye’s research was featured at AIMBE Congressional
Dr. Ye was named Arkansas Research Alliance Fellow
Dr. Ye's research was featured at the Congressional Robotics Caucus
August 26,2016 Three NIH-funded co-robots caught the eyes and interest of Capitol Hill staffers at a National Robotics Initiative (NRI). Briefing: a co-robotic cane for the visually impaired… (Read more)
National Eye Institute news release: Five innovations harness new technologies for people with visual impairment, blindness (Read More)
May 5, 2017 Dr. Ye’s team demonstrated the robot-cane to Congress staff at the Rayburn House Office Building at the Congressional BioMedical Technology Exhibition organized by the American Institute for Medical and Biological Engineering. (Read More)
Congratulations to He Zhang and Lingqiu Jin for their papers accepted for publication in IEEE/ASME Transactions on Mechatronics and IEEE Access! (2020)
Congratulations to He Zhang and Lingqiu Jin for their paper accepted for publication in IEEE/CAA Journal of Automatica Sinica (2021)
Dr. Ye gave a Keynote speech at 2019 IEEE International Conference on Human System Interaction.
Congratulations to He Zhang and Lingqiu Jin for receiving the LORD Best Paper Award at Visual-Inertial Navigation: Challenges and Applications Workshop at 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems! (Read More)
VCU Robotics team ranked the 2nd place in the 3rd UZH-FPV Drone Racing Visual-Inertial Odometry Competition at IROS 2020. The team currently ranks the 2nd place among all participating teams of IROS 2020, IROS 2019, and ICRA 2020. IROS and ICRA are the two flagship conferences in robotics. (Read More)
VCU Robotics team ranked the 2nd place in the third UZH-FPV Drone Racing Visual-Inertial Odometry Competition at IROS 2020. The team also takes the 2nd place among all teams of IROS 2020, ICRA 2020, and IROS 2019.
Dr. Ye is elected a Fellow of the American Institute for Medical and Biological Engineering. (Read More)
Congratulations to He Zhang and Lingqiu Jin for their papers accepted to 2021 IEEE/RSJ International Conference on Intelligent Robots and System.
SLAM experiment in Monroe Park using a LiDAR enhanced Visual Inertial Odometry. We are releasing our datasets for indoor/outdoor SLAM research. Visual, LiDAR, inertial, and position data were acquired from a Jackal UGV equipped with a Velodyne PuckLITE LiDAR, an Intel RealSense LiDAR Camera L515, an Intel RealSense Tracking Camera T265, an RTK GPS.
