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IROS
2006
IEEE
135views Robotics» more  IROS 2006»
16 years 12 days ago
Bio-inspired Model of Robot Adaptive Learning and Mapping
- In this paper we present a model designed on the basis of the neurophysiology of the rat hippocampus to control the navigation of a real robot. The model allows the robot to lear...
Alejandra Barrera Ramirez, Alfredo Weitzenfeld Rid...
NIPS
2007
15 years 7 months ago
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
We provide a provably efficient algorithm for learning Markov Decision Processes (MDPs) with continuous state and action spaces in the online setting. Specifically, we take a mo...
Alexander L. Strehl, Michael L. Littman
HYBRID
2003
Springer
15 years 11 months ago
Hybrid Control Design for a Wheeled Mobile Robot
We present a hybrid systems solution to the problem of trajectory tracking for a four-wheel steered four-wheel driven mobile robot. The robot is modelled as a non-holonomic dynamic...
Thomas Bak, Jan Bendtsen, Anders P. Ravn
CORR
2010
Springer
126views Education» more  CORR 2010»
15 years 6 months ago
Visibility maintenance via controlled invariance for leader-follower Dubins-like vehicles
The paper studies the visibility maintenance problem (VMP) for a leader-follower pair of robots modelled as first-order dynamic systems and proposes an original solution based on t...
Fabio Morbidi, Francesco Bullo, Domenico Prattichi...
GLVLSI
2005
IEEE
103views VLSI» more  GLVLSI 2005»
15 years 12 months ago
Causal probabilistic input dependency learning for switching model in VLSI circuits
Switching model captures the data-driven uncertainty in logic circuits in a comprehensive probabilistic framework. Switching is a critical factor that influences dynamic, active ...
Nirmal Ramalingam, Sanjukta Bhanja