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» Motion Planning with Uncertainty
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TSP
2011
197views more  TSP 2011»
13 years 4 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
ICRA
2000
IEEE
84views Robotics» more  ICRA 2000»
14 years 2 months ago
Enhancing Randomized Motion Planners: Exploring with Haptic Hints
In this paper, we investigate methods for enabling a human operator and an automatic motion planner to cooperatively solve a motion planning query. Our work is motivated by our ex...
O. Burçhan Bayazit, Guang Song, Nancy M. Am...
ATAL
2006
Springer
14 years 1 months ago
Multi-model motion tracking under multiple team member actuators
Autonomous robots need to track objects. Object tracking relies on predefined robot motion and sensory models. Tracking is particularly challenging if the robots can actuate on th...
Yang Gu, Manuela M. Veloso
IJRR
2000
113views more  IJRR 2000»
13 years 9 months ago
Sensor-Based Exploration: The Hierarchical Generalized Voronoi Graph
The hierarchical generalized Voronoi graph (HGVG) is a new roadmap developed for sensor-based exploration in unknown environments. This paper defines the HGVG structure: a robot c...
Howie Choset, Joel W. Burdick
ICRA
2005
IEEE
152views Robotics» more  ICRA 2005»
14 years 3 months ago
An Incremental Harmonic Function-based Probabilistic Roadmap Approach to Robot Path Planning
— A new hybrid motion planning technique based on Harmonic Functions (HF) and Probabilistic Roadmaps (PRM) is presented. The proposed approach consists of incrementally building ...
Moslem Kazemi, Mehran Mehrandezh, Kamal K. Gupta