Abderrahim Kasmi
Papers
2
Total Citations
11
H-Index
2
About
Abderrahim Kasmi is a robotics researcher whose work focuses on safe autonomous navigation in unstructured environments. His key research areas include risk-aware path planning, occupancy mapping, and probabilistic collision assessment for mobile robots. Kasmi’s major contribution lies in developing novel frameworks that bridge the gap between traditional Bayesian occupancy grids and continuous risk evaluation. His most cited paper, “A Novel Occupancy Mapping Framework for Risk-Aware Path Planning in Unstructured Environments” (2021, 9 citations), introduces a method that enables robots to assess collision probabilities in complex, dynamic settings without relying on simplified obstacle assumptions. This work addresses a critical limitation in autonomous navigation: the need for continuous risk assessment rather than discrete probabilistic obstacles. Kasmi also authored “Lambda-Field: A Continuous Counterpart Of The Bayesian Occupancy Grid For Risk Assessment And Safe Navigation” (2020, 2 citations), which further refines this approach by proposing a continuous representation of environmental uncertainty. While his citation counts are still growing, Kasmi’s research is foundational for developing safer, more reliable autonomous systems in real-world applications such as search-and-rescue, field robotics, and autonomous driving. His work represents an important step toward practical, risk-aware navigation in unpredictable environments.
Research Focus
Key Achievements
Top Papers
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- 2