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» Planning, Learning, and Executing in Autonomous Systems
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AROBOTS
2008
158views more  AROBOTS 2008»
13 years 8 months ago
Learning traversability models for autonomous mobile vehicles
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan thei...
Michael Shneier, Tommy Chang, Tsai Hong, William P...
CIDR
2009
152views Algorithms» more  CIDR 2009»
13 years 9 months ago
Visualizing the robustness of query execution
In database query processing, actual run-time conditions (e.g., actual selectivities and actual available memory) very often differ from compile-time expectations of run-time cond...
Goetz Graefe, Harumi A. Kuno, Janet L. Wiener
ATAL
2010
Springer
13 years 9 months ago
Learning context conditions for BDI plan selection
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
ATAL
2004
Springer
14 years 1 months ago
The EO-1 Autonomous Science Agent
— An Autonomous Science Agent is currently flying onboard the Earth Observing One Spacecraft. This software enables the spacecraft to autonomously detect and respond to science e...
Steve A. Chien, Rob Sherwood, Daniel Tran, Benjami...
ICRA
1998
IEEE
137views Robotics» more  ICRA 1998»
14 years 3 days ago
GRAMMPS: A Generalized Mission Planner for Multiple Mobile Robots in Unstructured Environments
For a system of cooperative mobile robots to be effective in real-world applications, it must be able to efficiently execute a wide class of complex tasks in potentially unknown a...
Barry Brumitt, Anthony Stentz