Papers
43
Total Citations
1,369
H-Index
16
About
Vadim Indelman is a prominent robotics and autonomous systems researcher whose work sits at the intersection of simultaneous localization and mapping (SLAM), multi-robot collaboration, and planning under uncertainty. His research has fundamentally advanced how robots perceive, navigate, and cooperate in unknown and challenging environments. Indelman's most influential contribution is his comprehensive survey on Active SLAM (2023, 290 citations), which has become an essential reference for the field, synthesizing over three decades of progress and charting new frontiers. His DDF-SAM 2.0 framework (2013, 170 citations) established robust methods for decentralized multi-robot SLAM, enabling teams of robots to operate reliably in dangerous, GPS-denied environments. His generalized belief space planning approach (2015, 152 citations) provided a principled probabilistic framework for autonomous navigation under uncertainty, a cornerstone contribution to robot decision-making. Beyond these landmark works, Indelman has made lasting contributions through smart factor graph formulations, expectation maximization-based cooperative localization, and information-theoretic landmark selection. Collectively, his publications have garnered over 800 citations, reflecting deep and sustained impact. His research continues to shape how autonomous robots reason, collaborate, and explore the world intelligently.
Research Focus
Key Achievements
Top Papers
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- 2DDF-SAM 2.0: Consistent distributed smoothing and mapping170 citations · 2013
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- 7Information-based reduced landmark SLAM43 citations · 2015
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