MARTIN C. MARTIN

Carnegie Mellon University

Papers

2

Total Citations

178

H-Index

2

About

Martin C. Martin is a pioneering researcher in mobile robotics and spatial perception, best known for his foundational work on evidence grid mapping. His seminal 1996 paper, "Robot Evidence Grids," introduced a transformative approach to converting noisy sonar range measurements into detailed spatial maps, a technique that has become a cornerstone of robotic mapping and localization, earning 155 citations. Martin further advanced multi-robot systems with his 2007 work on merging Gaussian distributions for object localization, a key contribution to collaborative robotics. His research has profoundly influenced autonomous navigation, sensor fusion, and probabilistic robotics, enabling robots to build accurate environmental models from uncertain sensor data. Martin's contributions are widely recognized for bridging theoretical probabilistic methods with practical robotic applications, making him a notable figure in the field. His work continues to inspire new generations of researchers in robotics, computer vision, and artificial intelligence, particularly in the development of robust, real-world mapping systems for autonomous vehicles and exploration robots.

Research Focus

Key Achievements

2
H-Index
2
Papers
178
Total Citations
89
Avg Citations/Paper
🏆 Most Cited Paper
Robot Evidence Grids.
155 citations · 1996
📈 Most Prolific Year: 1996 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1
    Robot Evidence Grids.
    155 citations · 1996
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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