Papers
23
Total Citations
464
H-Index
11
About
Kasra Khosoussi is a leading researcher in robotics and sensor networks, specializing in simultaneous localization and mapping (SLAM) for extreme environments. His work addresses fundamental challenges in estimation-over-graphs, collaborative SLAM, and resource-aware autonomy. Khosoussi made major contributions to the DARPA Subterranean Challenge, co-authoring the highly cited survey "Present and Future of SLAM in Extreme Environments" (176 citations), which charted the path for SLAM in underground tunnels, caves, and even Martian lava tubes. He pioneered the concept of separability in SLAM, showing how to exploit the linear structure of measurement functions for more efficient back-end optimization. His research on reliable graphs for SLAM (61 citations) established new theoretical connections between graphical representations and estimation-theoretic performance. Khosoussi also developed near-optimal, provably guaranteed algorithms for distributed inter-robot loop closure detection, addressing critical resource constraints in collaborative missions. His work on energy-aware information gathering for heterogeneous robot teams further demonstrates his commitment to practical, deployable solutions. With over 400 total citations and a consistent focus on both theory and real-world validation, Khosoussi is shaping the future of autonomous navigation in the most challenging environments on Earth and beyond.
Research Focus
Key Achievements
Top Papers
- 1Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge176 citations · 2023
- 2Reliable Graphs for SLAM61 citations · 2019
- 3Present and Future of SLAM in Extreme Underground Environments38 citations · 2022
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- 5Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection27 citations · 2018
- 6A Sparse Separable SLAM Back-End17 citations · 2016
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- 8Exploiting the Separable Structure of SLAM14 citations · 2015
- 9Tree-connectivity: Evaluating the graphical structure of SLAM13 citations · 2016
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