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» Learning to Control in Operational Space
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128
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AIPS
1994
15 years 5 months ago
A Planner with Quality Goal and Its Speed-up Learning for Optimization Problem
Aimsof traditional planners had beenlimited to finding a sequenceof operators rather than finding an optimal or neax-optimalfinal state. Consequent]y, the performanceimprovementsy...
Masahiko Iwamoto
120
Voted
AROBOTS
1999
118views more  AROBOTS 1999»
15 years 3 months ago
GripSee: A Gesture-Controlled Robot for Object Perception and Manipulation
We have designed a research platform for a perceptually guided robot, which also serves as a demonstrator for a coming generation of service robots. In order to operate semi-autono...
Mark Becker, Efthimia Kefalea, Eric Maël, Chr...
128
Voted
ICSR
2000
Springer
15 years 7 months ago
A New Control Structure for Transformation-Based Generators
A serious problem of most transformation-based generators is that they are trying to achieve three mutually antagonistic goals simultaneously: 1) deeply factored operators and oper...
Ted J. Biggerstaff
147
Voted
ICML
2006
IEEE
16 years 4 months ago
The relationship between Precision-Recall and ROC curves
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datas...
Jesse Davis, Mark Goadrich
137
Voted
ICRA
2007
IEEE
175views Robotics» more  ICRA 2007»
15 years 10 months ago
Visual Servoing in Non-Rigid Environments: A Space-Time Approach
— Most robotic vision algorithms are proposed by envisaging robots operating in structured environments where the world is assumed to be rigid. These algorithms fail to provide o...
D. Santosh, C. V. Jawahar