Bayu A. Slamet
University of Amsterdam, Amsterdam University of Applied Sciences
Papers
6
Total Citations
179
H-Index
5
About
Bayu A. Slamet is a researcher whose work lies at the intersection of multi-robot systems, autonomous exploration, and cooperative perception. His most significant contributions focus on developing scalable algorithms for multi-robot Simultaneous Localization and Mapping (SLAM), enabling teams of robots to collaboratively generate highly detailed maps of unknown environments. His 2008 paper on this topic has garnered 72 citations, underscoring its influence in the field. Slamet also advanced frontier exploration strategies by introducing methods that balance information gain against movement cost (42 citations) and by incorporating communication success into exploration algorithms (41 citations), a critical innovation for coordinating robot teams in challenging, real-world scenarios like disaster response. His work with the UvA Rescue Team further demonstrates his commitment to applying these techniques to virtual robot competitions, addressing perceptual and coordination challenges. Through his research, Slamet has provided foundational frameworks for efficient, communication-aware multi-robot exploration, impacting both theoretical robotics and practical applications in search-and-rescue missions.
Research Focus
Key Achievements
Top Papers
- 1A Scalable Hybrid Multi-robot SLAM Method for Highly Detailed Maps72 citations · 2008
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- 6Purposeful perception by attention-steered robots.2 citations · 2005