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NIPS
2001
15 years 8 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
199
Voted
WSC
1989
15 years 8 months ago
Simulation run length planning
To design a stochastic simulation experiment, it is helpful to have an estimate of the simulation run lengths required to achieve desired statistical precision. Preliminary estima...
Ward Whitt
ICRA
2002
IEEE
110views Robotics» more  ICRA 2002»
16 years 5 days ago
Dynamic Shape Reconstruction using Tactile Sensors
—We present new results on reconstruction of the shape and motion of an unknown object using tactile sensors without requiring objectimmobilization. Arobotmanipulatestheobjectwit...
Mark Moll, Michael Erdmann
MICCAI
2007
Springer
16 years 8 months ago
Modeling of Needle-Tissue Interaction Using Ultrasound-Based Motion Estimation
Abstract. A needle-tissue interaction model is an essential part of every needle insertion simulator. In this paper, a new experimental method for the modeling of needle-tissue int...
Ehsan Dehghan, Xu Wen, Reza Zahiri-Azar, Maud Marc...
ABIALS
2008
Springer
16 years 1 months ago
A Two-Level Model of Anticipation-Based Motor Learning for Whole Body Motion
Abstract. We present a model of motor learning based on a combination of Operational Space Control and Optimal Control. Anticipatory processes are used both in the learning of the ...
Camille Salaün, Vincent Padois, Olivier Sigau...