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Abstract page for arXiv paper 1106.0680: Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap hidden markov models robot navigation learning geometrically constrained https://europe.naverlabs.com/blog/risk-sensitive-robot-navigation/ Risk-sensitive robot navigation - NAVER LABS Europe Jun 26, 2024 - Using a novel algorithm we explore how effectively a single policy, learned by reinforcement learning, can modulate robot behaviour from risk-averse to... robot navigation risk sensitive naver labs https://ro.ecu.edu.au/ecuworks/5294/ "A Rough-Fuzzy Controller for Autonomous Mobile Robot Navigation" by Chang Su Lee, Thomas Braunl et... This paper presents a new development of a rough-fuzzy controller for an autonomous mobile robot based on rough set and fuzzy set theory. 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In vineyard management, detecting features such as... feature detection robot navigation lincoln centre drone based https://researchportal.hw.ac.uk/en/publications/ultra-wide-band-localization-and-slam-a-comparative-study-for-mob/ Ultra Wide-Band localization and SLAM: A comparative study for mobile robot navigation -... ultra wide band mobile robot navigation comparative study localization slam https://www.sri.com/publication/computer-vision-pubs/constrained-optimal-selection-for-multi-sensor-robot-navigation-using-plug-and-play-factor-graphs/ Constrained Optimal Selection for Multi-Sensor Robot Navigation Using Plug-and-Play Factor Graphs -... 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