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» Linear Predictive Control of a Brachiation Robot
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IEAAIE
2005
Springer
13 years 10 months ago
Movement Prediction from Real-World Images Using a Liquid State Machine
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
Harald Burgsteiner, Mark Kröll, Alexander Leo...
SWARM
2008
SPRINGER
222views Optimization» more  SWARM 2008»
13 years 4 months ago
Biologically inspired redistribution of a swarm of robots among multiple sites
We present a biologically inspired approach to the dynamic assignment and reassignment of a homogeneous swarm of robots to multiple locations, which is relevant to applications lik...
M. Ani Hsieh, Ádám M. Halász,...
BIOADIT
2004
Springer
13 years 10 months ago
Movement Generation and Control with Generic Neural Microcircuits
Abstract. Simple linear readouts from generic neural microcircuit models can be trained to generate and control basic movements, e.g., reaching with an arm to various target points...
Prashant Joshi, Wolfgang Maass
IROS
2006
IEEE
157views Robotics» more  IROS 2006»
13 years 10 months ago
Trajectory and Spline Generation for All-Wheel Steering Mobile Robots
We present a method for trajectory generation for all-wheel steering mobile robots which can account for rough terrain and predictable vehicle dynamics and apply it to the problem...
Thomas M. Howard, Alonzo Kelly
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
13 years 11 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