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CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 10 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
ICRA
2010
IEEE
154views Robotics» more  ICRA 2010»
13 years 8 months ago
Multi-agent path planning with multiple tasks and distance constraints
— The DPC algorithm developed in our previous work is an efficient way of computing optimal trajectories for multiple robots in a distributed fashion with timeparameterized cons...
Subhrajit Bhattacharya, Maxim Likhachev, Vijay Kum...
MIAR
2006
IEEE
14 years 4 months ago
Optical Mapping of the Frontal Cortex During a Surgical Knot-Tying Task, a Feasibility Study
Functional neuroimaging technologies have transformed cognitive neuroscience by enhancing our understanding of the functional subclassification of brain regions. Whilst a number of...
Daniel Richard Leff, Peck Hui Koh, Rajesh Aggarwal...
RTSS
2005
IEEE
14 years 3 months ago
Voltage Scaling Scheduling for Periodic Real-Time Tasks in Reward Maximization
— This paper is interested in reward maximization of periodic real-time tasks under a given energy constraint, where the reward received depends on how much computation a task ru...
Jian-Jia Chen, Tei-Wei Kuo
CF
2004
ACM
14 years 3 months ago
A framework for resource discovery in pervasive computing for mobile aware task execution
Aimed to provide computation ubiquitously, pervasive computing is perceived as a means to provide a user the transparency of anywhere, anyplace, anytime computing. Pervasive compu...
K. Kalapriya, S. K. Nandy, Deepti Srinivasan, R. U...