Papers
57
Total Citations
1,324
H-Index
19
About
Nicholas Gans is a prominent robotics researcher whose work sits at the intersection of visual servoing, autonomous mobile robots, and multi-robot systems. Best known for his foundational contributions to vision-based robot control, Gans has spent his career resolving longstanding tensions in the field — most notably through his 2007 hybrid switched-system approach to visual servoing, which elegantly unified image-based and position-based methods to achieve asymptotic stability across both error domains, earning over 200 citations. His homography-based control frameworks, which address real-world challenges such as imperfect camera calibration, nonholonomic constraints, and limited fields of view, have become essential references in the visual servo community, collectively accumulating nearly 200 additional citations. His 2014 work on fast and robust trajectory design for robot parameter identification has similarly resonated with industrial robotics practitioners. Beyond manipulation, Gans has advanced mobile robot autonomy through innovative sensor fusion architectures blending visual odometry, IMU, and wheel odometry for reliable localization. More recently, his research has expanded into cooperative multi-robot systems with military applications. Across his career, Gans has demonstrated a rare ability to bridge rigorous theoretical analysis with practical, deployable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Stable Visual Servoing Through Hybrid Switched-System Control201 citations · 2007
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- 4Homography-Based Visual Servo Control With Imperfect Camera Calibration95 citations · 2009
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- 6Cooperative Multirobot Systems for Military Applications44 citations · 2021
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