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» Covisibility-Based Map Learning Method for Mobile Robots
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IBPRIA
2005
Springer
14 years 1 months ago
Monte Carlo Localization Using SIFT Features
The ability of finding its situation in a given environment is crucial for an autonomous agent. While navigating through a space, a mobile robot must be capable of finding its lo...
Arturo Gil, Óscar Reinoso, Maria Asunci&oac...
TROB
2008
86views more  TROB 2008»
13 years 7 months ago
Visual SLAM for Flying Vehicles
The ability to learn a map of the environment is important for numerous types of robotic vehicles. In this paper, we address the problem of learning a visual map of the ground usin...
Bastian Steder, Giorgio Grisetti, Cyrill Stachniss...
ICRA
2007
IEEE
162views Robotics» more  ICRA 2007»
14 years 2 months ago
Learning and Evaluation of the Approach Vector for Automatic Grasp Generation and Planning
— In this paper, we address the problem of automatic grasp generation for robotic hands where experience and shape primitives are used in synergy so to provide a basis not only f...
Staffan Ekvall, Danica Kragic
ESSMAC
2003
Springer
14 years 28 days ago
Simultaneous Localization and Surveying with Multiple Agents
We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
Sam T. Roweis, Ruslan Salakhutdinov
VMV
2003
203views Visualization» more  VMV 2003»
13 years 9 months ago
Semantic Scene Analysis of Scanned 3D Indoor Environments
Precise digital 3D models of indoor environments are needed in several applications, e.g., facility management, architecture, rescue and inspection robotics. This paper presents a...
Andreas Nüchter, Hartmut Surmann, Kai Lingema...