About

Martin Adams is a prominent robotics researcher whose work spans two highly influential domains: mobile robot sensing and navigation, and advanced control systems for robotic manipulators. His foundational contributions to LiDAR technology, beginning with his 1996 analysis of amplitude-modulated continuous wave sensors (53 citations), established critical frameworks for reliable range measurement that continue to underpin mobile robotics today. His 2000 work on LiDAR design and calibration (63 citations) further cemented his reputation as a leading authority on environmental sensing for autonomous systems. Adams has made particularly significant strides in Simultaneous Localization and Mapping (SLAM), introducing innovative approaches including multidimensional assignment-based data association (59 citations), random finite set formulations (47 citations), and a widely recognized 2014 review of probabilistic SLAM advances (71 citations). His 2004 particle filter localization work demonstrated practical outdoor robotic navigation using natural landmarks extracted from laser scanners. Complementing this sensing expertise, Adams has authored highly cited work in robust adaptive control of mobile manipulators, with two 2008 papers accumulating 85 and 75 citations respectively, addressing complex cooperative manipulation under real-world uncertainties. With a body of work exceeding 500 cumulative citations across these interconnected fields, Adams represents a uniquely versatile voice in autonomous robotics research.

Research Focus

Key Achievements

22
H-Index
60
Papers
1,225
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Robust Output-Feedback Motion/Force Control of Electrically Driven Nonholonomic Mobile Manipulators
85 citations · 2008
📈 Most Prolific Year: 2002 (8 Papers)
🤝 Key Collaborators: 44
🏛 Institutions: Nanyang Technological University, University of Chile, University of Oxford, Science Oxford, École Polytechnique Fédérale de Lausanne, Swiss Finance Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 34 days ago