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» Robot learning through task identification
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ATAL
2007
Springer
13 years 9 months ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso
ICRA
1999
IEEE
97views Robotics» more  ICRA 1999»
13 years 10 months ago
Clustering of Qualitative Contact States for a Transmission Assembly
Current manufacturing methods for robotic-controlled assembly rely on accurate positioning to ensure task completion, often through the use of special xtures and precise calibrati...
Marjorie Skubic, Benjamin Forrester, Brent Nowak
ICMI
2007
Springer
121views Biometrics» more  ICMI 2007»
13 years 11 months ago
A tactile language for intuitive human-robot communication
Abstract— This paper presents a tactile language for controlling a robot through its artificial skin. This language greatly improves the multimodal human-robot communication by ...
Andreas J. Schmid, Martin Hoffmann, Heinz Wör...
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 5 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
RSS
2007
198views Robotics» more  RSS 2007»
13 years 7 months ago
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
— Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing t...
Fabio T. Ramos, Dieter Fox, Hugh F. Durrant-Whyte