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» A Sampling-Based Approach to Information Recovery
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ICDE
2008
IEEE
130views Database» more  ICDE 2008»
14 years 8 months ago
A Sampling-Based Approach to Information Recovery
There has been a recent resurgence of interest in research on noisy and incomplete data. Many applications require information to be recovered from such data. For example, in sens...
Junyi Xie, Jun Yang 0001, Yuguo Chen, Haixun Wang,...
ICRA
2005
IEEE
135views Robotics» more  ICRA 2005»
14 years 15 days ago
Sampling-Based Motion Planning Using Predictive Models
— Robotic motion planning requires configuration space exploration. In high-dimensional configuration spaces, a complete exploration is computationally intractable. Practical m...
Brendan Burns, Oliver Brock
ICRA
2010
IEEE
157views Robotics» more  ICRA 2010»
13 years 5 months ago
Sampling-Based Motion and Symbolic Action Planning with geometric and differential constraints
Abstract— To compute collision-free and dynamicallyfeasibile trajectories that satisfy high-level specifications given in a planning-domain definition language, this paper prop...
Erion Plaku, Gregory D. Hager
RV
2010
Springer
172views Hardware» more  RV 2010»
13 years 5 months ago
Recovery Tasks: An Automated Approach to Failure Recovery
Abstract. We present a new approach for developing robust software applications that breaks dependences on the failed parts of an application’s execution to allow the rest of the...
Brian Demsky, Jin Zhou, William Montaz
ICRA
2008
IEEE
123views Robotics» more  ICRA 2008»
14 years 1 months ago
Exact state and covariance sub-matrix recovery for submap based sparse EIF SLAM algorithm
— This paper provides a novel state vector and covariance sub-matrix recovery algorithm for a recently developed submap based exactly sparse Extended Information Filter (EIF) SLA...
Shoudong Huang, Zhan Wang, Gamini Dissanayake