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» Adaptable Path Planning in Regionalized Environments
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CDC
2009
IEEE
148views Control Systems» more  CDC 2009»
13 years 9 months ago
An adaptive artificial potential function approach for geometric sensing
In this paper, a novel artificial potential function is proposed for planning the path of a robotic sensor in a partially observed environment containing multiple obstacles and mul...
Guoxian Zhang, Silvia Ferrari
CRV
2005
IEEE
192views Robotics» more  CRV 2005»
13 years 11 months ago
3D Reconstruction of Environments for Planetary Exploration
In this paper we present our approach to 3D surface reconstruction from large sparse range data sets. In space robotics constructing an accurate model of the environment is very i...
Sebastien Gemme, Joseph Nsasi Bakambu, Ioannis M. ...
AIPS
2009
13 years 6 months ago
Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing
Recent research in robot exploration and mapping has focused on sampling environmental hotspot fields. This exploration task is formalized by Low, Dolan, and Khosla (2008) in a se...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
13 years 3 months ago
Trajectory prediction in cluttered voxel environments
Abstract— Trajectory planning and optimization is a fundamental problem in articulated robotics. It is often viewed as a two phase problem of initial feasible path planning aroun...
Nikolay Jetchev, Marc Toussaint
CDC
2008
IEEE
107views Control Systems» more  CDC 2008»
13 years 11 months ago
Locally optimal decomposition for autonomous obstacle avoidance with the Tunnel-MILP algorithm
— The Tunnel-MILP algorithm is a three stage path planning method for 2-D environments that relies on the identification of a sequence of convex polygons to form an obstacle fre...
Michael P. Vitus, Steven Lake Waslander, Claire J....