Sciweavers

AIPS
2007
13 years 10 months ago
Managing Personal Tasks with Time Constraints and Preferences
This paper treats the problem of managing personal tasks, through an adaptation of the Squeaky Wheel Optimization (SWO) framework, enhanced with powerful heuristics and full const...
Ioannis Refanidis
AIPS
2007
13 years 10 months ago
An Innovative Product for Space Mission Planning: An A Posteriori Evaluation
This paper describes MEXAR2, a software tool that is currently used to synthesize the operational commands for data downlink from the on-board memory of an interplanetary space mi...
Amedeo Cesta, Gabriella Cortellessa, Simone Fratin...
AIPS
2007
13 years 10 months ago
Dynamic Control in Path-Planning with Real-Time Heuristic Search
Vadim Bulitko, Yngvi Björnsson, Mitja Lustrek...
AIPS
2007
13 years 10 months ago
Transformational Planning for Everyday Activity
We propose an approach to transformational planning and learning of everyday activity. This approach is targeted at autonomous robots that are to perform complex activities such a...
Armin Müller, Alexandra Kirsch, Michael Beetz
AIPS
2007
13 years 10 months ago
itSIMPLE 2.0: An Integrated Tool for Designing Planning Domains
A great effort has been made today in the area of Artificial Intelligence for defining reliable automated planning systems that can be applied in real life applications. That le...
Tiago Stegun Vaquero, Victor Romero, Flavio Tonida...
AIPS
2007
13 years 10 months ago
Towards a Heuristic for Scheduling the James Webb Space Telescope
Scheduling the James Webb Space Telescope (JWST) requires modeling and minimizing the buildup of angular momentum of the spacecraft. Accounting for momentum management is expected...
Mark E. Giuliano, Reiko Rager, Nazma Ferdous
AIPS
2007
13 years 10 months ago
Angelic Semantics for High-Level Actions
High-level actions (HLAs) lie at the heart of hierarchical planning. Typically, an HLA admits multiple refinements into primitive action sequences. Correct descriptions of the ef...
Bhaskara Marthi, Stuart J. Russell, Jason Wolfe