Papers
11
Total Citations
973
H-Index
7
About
Michel Kieffer is a prominent researcher whose work sits at the intersection of interval analysis, robust estimation, and autonomous robotics. He is best known for his foundational contributions to applying interval analysis to real-world engineering problems, most notably through his landmark book *Applied Interval Analysis* (1993), which has accumulated over 750 citations and remains a definitive reference in the field. Kieffer's research has fundamentally advanced bounded-error estimation techniques, providing mathematically guaranteed methods for characterizing parameter and state uncertainty in nonlinear systems—even when prior knowledge is imperfect or data is unreliable. A recurring application domain in his work is mobile robot localization and tracking. His papers on robust autonomous robot localization, guaranteed nonlinear estimation, and interval-based state estimation collectively demonstrate how rigorous mathematical tools can solve practical navigation challenges under real-world uncertainty. His 2009 work on reliable robust path planning further extended these ideas to safety-critical motion planning with bounded uncertainty. More recently, Kieffer has expanded his interests into video transmission quality, exploring glass-to-glass delay reduction for teleoperation and remote robotics applications. With a career spanning theoretical foundations to applied systems, Kieffer's research offers essential tools for engineers designing reliable autonomous systems in uncertain environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust Autonomous Robot Localization Using Interval Analysis96 citations · 2000
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- 4Reliable Robust Path Planning with Application to Mobile Robots23 citations · 2009
- 5Guaranteed Mobile Robot Tracking Using Interval Analysis23 citations · 2007
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