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» Experiments in Subsymbolic Action Planning with Mobile Robot...
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ICRA
2003
IEEE
108views Robotics» more  ICRA 2003»
15 years 5 months ago
On-line safe path planning in unknown environments
s - For the on-line safe path planning of a mobile robot in unknown environments, the paper proposes a simple Hopfield Neural Network ( HNN ) planner. Without learning process, the...
Weidong Chen, Changhong Fan, Yugeng Xi
IROS
2009
IEEE
227views Robotics» more  IROS 2009»
15 years 6 months ago
Cell-RRT: Decomposing the environment for better plan
— In order to define an architecture for task and motion planning of a mobile robot, we propose the CellRRT path planner that combines the advantages of planning approaches by d...
Julien Guitton, Jean-Loup Farges, Raja Chatila
HRI
2006
ACM
15 years 5 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
IJRR
2000
94views more  IJRR 2000»
14 years 11 months ago
Sensor-Based Exploration: Incremental Construction of the Hierarchical Generalized Voronoi Graph
This paper prescribes an incremental procedure to construct roadmaps of unknown environments. Recall that a roadmap is a geometric structure that a robot uses to plan a path betwe...
Howie Choset, Sean Walker, Kunnayut Eiamsa-Ard, Jo...
ABIALS
2008
Springer
15 years 6 months ago
Anticipative Control of Voluntary Action: Towards a Computational Model
Abstract. Human action is goal-directed and must thus be guided by anticipations of wanted action effects. How anticipatory action control is possible and how it can emerge from ex...
Pascal Haazebroek, Bernhard Hommel