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ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
14 years 1 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
CDC
2008
IEEE
168views Control Systems» more  CDC 2008»
14 years 2 months ago
An information-driven framework for motion planning in robotic sensor networks: Complexity and experiments
Abstract— A geometric optimization based approach to deploy a mobile sensor network for the purpose of detecting and capturing mobile targets in the plane is presented in [1]. Th...
Rafael Fierro, Silvia Ferrari, Chenghui Cai
ECAL
2005
Springer
14 years 1 months ago
Artificial Homeostatic System: A Novel Approach
Abstract. Many researchers are developing frameworks inspired by natural, especially biological, systems to solve complex real-world problems. This work extends previous work in th...
Patrícia Amâncio Vargas, Renan C. Moi...
ECAI
2008
Springer
13 years 9 months ago
Incremental Component-Based Construction and Verification of a Robotic System
Abstract-- Autonomous robots are complex systems that require the interaction/cooperation of numerous heterogeneous software components. Nowadays, robots are critical systems and m...
Ananda Basu, Matthieu Gallien, Charles Lesire, Tha...
ABIALS
2008
Springer
13 years 9 months ago
Anticipatory Driving for a Robot-Car Based on Supervised Learning
Abstract. Prediction and Planning are essential elements of successful human driving, making them equally important for autonomously driving systems. Many approaches achieve planni...
Irene Markelic, Tomas Kulvicius, Minija Tamosiunai...