Papers
10
Total Citations
92
H-Index
5
About
Samleo L. Joseph is a robotics and autonomous systems researcher whose work spans assistive navigation technology, simultaneous localization and mapping (SLAM), and mobile robotics. His most influential contribution — a SLAM-based semantic indoor navigation system for visually impaired users (2015, 37 citations) — demonstrates his commitment to translating cutting-edge robotics research into meaningful real-world applications, integrating wearable RGB-D sensors with intelligent path planning to enhance accessibility. Joseph has also made notable strides in the domain of climbing robotics, contributing dynamic modeling and 3D path planning frameworks for the City-Climber robot, a versatile wall-climbing platform developed at The City College of New York, with related publications accumulating around 28 citations. His research further extends to robust data association methods for SLAM in challenging environments — including dynamic, cluttered, and disaster-affected settings — reflecting a sustained effort to improve localization reliability in unstructured real-world scenarios. With contributions spanning multi-robot scan registration, wireless sensor network-based mapping, and adaptive probabilistic algorithms, Joseph's body of work represents a well-rounded and practically oriented research portfolio at the intersection of perception, planning, and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1A SLAM Based Semantic Indoor Navigation System for Visually Impaired Users37 citations · 2015
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- 9Polygon-based laser scan registration by heterogeneous robots3 citations · 2010
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