M. Altermatt

About

M. Altermatt is a researcher whose work centers on mobile robotics, with a primary focus on the Simultaneous Localization and Mapping (SLAM) problem. His key contributions lie in developing robust solutions for autonomous navigation in indoor environments, specifically by leveraging corner features as reliable landmarks. Altermatt’s most cited work, "SLAM with Corner Features Based on a Relative Map" (2005, 15 citations), introduces an innovative approach that uses a relative map state to enhance the stochastic map framework. This method reduces computational complexity and improves consistency in pose estimation, addressing critical challenges in robot autonomy. A related earlier paper (2004, 5 citations) further explores this concept, establishing a foundation for feature-based SLAM. While his citation counts reflect a focused, niche impact, Altermatt’s work is notable for its practical emphasis on real-world indoor navigation, offering a scalable solution that has informed subsequent research in robotic mapping and localization. His contributions are particularly valuable for students and engineers seeking efficient, landmark-based approaches to SLAM in structured environments.

Research Focus

Key Achievements

Top Papers

1. 1
   SLAM with comer features based on a relative map

   15 citations · 2005
2. 2
   SLAM with Corner Features Based on a Relative Map

   5 citations · 2004

Key Collaborators

Contact & Links