Mitchell McIntire
Clemson University, University of Minnesota, Stanford University, Google (United States)
Papers
5
Total Citations
140
H-Index
5
About
Mitchell McIntire is a robotics researcher whose work spans visual servoing, multi-robot coordination, and autonomous algorithm discovery. He made an early significant contribution to mobile robotics with his 2004 paper on homography-based visual servo tracking, which developed a novel controller enabling an underactuated wheeled robot to follow a prerecorded image sequence using a single monocular camera — a technically elegant solution to the challenging camera-in-hand problem under nonholonomic constraints, garnering 44 citations. McIntire's subsequent research shifted toward the complex problem of coordinating teams of robots, where he developed auction-based decentralized algorithms capable of handling tasks with both temporal and precedence constraints. His iterated multi-robot auction framework, introduced across several influential papers between 2016 and 2017 (collectively accumulating over 90 citations), provided practical, scalable approximations to scheduling problems that are computationally intractable in their exact form. More recently, McIntire has explored the frontier of automated algorithm discovery, proposing AutoRobotics-Zero, a method that evolves symbolic, zero-shot adaptable control policies from scratch without relying on neural networks. Together, his body of work reflects a consistent drive to make autonomous robotic systems more capable, flexible, and deployable in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Homography-based visual servo tracking control of a wheeled mobile robot44 citations · 2004
- 2Iterated Multi-Robot Auctions for Precedence-Constrained Task Scheduling39 citations · 2016
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- 5Discovering Adaptable Symbolic Algorithms from Scratch5 citations · 2023