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74
Voted
IROS
2006
IEEE
100views Robotics» more  IROS 2006»
15 years 5 months ago
Gait Generation for Passive Running via Iterative Learning Control
Abstract— This paper proposes a novel framework to generate optimal passive gait trajectories for a planar one-legged hopping robot via iterative learning control. The proposed m...
Satoshi Satoh, Kenji Fujimoto, Sang-Ho Hyon
72
Voted
ICRA
1993
IEEE
108views Robotics» more  ICRA 1993»
15 years 3 months ago
Models for Diagnosing Robot Error Sources
Accuracy of a machine is determined by its ability to position and orient a tool at a prescribed point. Usually this positioning is performed by positioning joints (actuators The ...
Louis J. Everett
NCA
2002
IEEE
14 years 11 months ago
The Construction of Smooth Models using Irregular Embeddings Determined by a Gamma Test Analysis
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
Alban P. M. Tsui, Antonia J. Jones, A. Guedes de O...
CDC
2010
IEEE
111views Control Systems» more  CDC 2010»
14 years 6 months ago
Retrospective cost adaptive control for nonminimum-phase discrete-time systems, part 1: The ideal controller and error system
We present a direct adaptive controller for discrete-time (and thus sampled-data) systems that are possibly nonminimum phase. The adaptive control algorithm requires limited model ...
Jesse B. Hoagg, Dennis S. Bernstein
TSP
2010
14 years 6 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic