Keyou You

About

Keyou You is a leading figure in the fields of machine learning, networked control systems, and autonomous robotics. His most influential work, the 2014 review "Trends in extreme learning machines," has garnered over 1,700 citations, establishing him as a key voice in the development of efficient, single-hidden-layer neural networks. Beyond this foundational contribution, You has pioneered innovative control strategies for robots operating under severe sensory constraints. His research addresses the challenge of navigating and manipulating unknown environments using only range-based measurements, a critical capability for GPS-denied scenarios. Notable achievements include developing coordinate-free controllers for target circumnavigation and isoline tracking in unknown 2-D scalar fields, as detailed in his 2019 and 2020 papers. These works, while more recent, showcase his ability to solve complex, real-world problems with elegant, feedback-driven solutions. You’s work bridges theoretical advances in control and estimation with practical applications in robotics, making him a highly cited and respected researcher in both the machine learning and control systems communities.

Research Focus

Key Achievements

Top Papers

1. 1
   Trends in extreme learning machines: A review

   1,738 citations · 2014
2. 2
   Target encirclement with any smooth pattern using range-based measurements

   70 citations · 2020
3. 3
   Recent Developments in Networked Control and Estimation

   10 citations · 2014
4. 4
   Circumnavigation of an Unknown Target Using Range-only Measurements in GPS-denied Environments

   5 citations · 2019
5. 5
   Coordinate-free Isoline Tracking in Unknown 2-D Scalar Fields

   4 citations · 2020
6. 6
   Circumnavigation of an Unknown Target Using Backstepping Control Based on Range-only Measurements

   2 citations · 2019

Key Collaborators

Contact & Links