Accelerating model learning with inter-robot knowledge transfer Ndivhuwo Makondo1 , Benjamin Rosman2 and Osamu Hasegawa3 Abstract— Online learning of a robot’s inverse dynamics model for trajectory tracking necessita

Source URL: www.benjaminrosman.com

Using Model Knowledge for Learning Inverse Dynamics Duy Nguyen-Tuong and Jan Peters Abstract— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightfo

Source URL: www.ias.tu-darmstadt.de

TOWARDS REACTIVE VISION-GUIDED WALKING ON ROUGH TERRAIN: AN INVERSE-DYNAMICS BASED APPROACH Oscar E. Ramos1 , Mauricio Garc´ıa1,2 , Nicolas Mansard1 , Olivier Stasse1 , Jean-Bernard Hayet2 , Philippe Soueres1 1 LAAS-CN

Source URL: homepages.laas.fr

Whole-body Motion Integrating the Capture Point in the Operational Space Inverse Dynamics Control Oscar E. Ramos, Nicolas Mansard, Philippe Sou`eres Abstract— It is important for a humanoid robot to be able to move its

Source URL: homepages.laas.fr

Radiative Energy Inverse square lawA

Source URL: climate-dynamics.org

1 Rapidly Exponentially Stabilizing Control Lyapunov Functions and Hybrid Zero Dynamics Aaron D. Ames, Kevin Galloway, J. W. Grizzle, and Koushil Sreenath

Source URL: web.eecs.umich.edu

• Mathematical analysis
• Mathematics
• Dynamical systems
• Control theory
• Lyapunov stability
• Stability theory
• Lyapunov equation
• Inverse trigonometric functions
• Vector field
• Z-transform
• Bessel function

Numerical Solution of an Inverse Problem in Size-Structured Population Dynamics Marie Doumic ∗‡

Source URL: www.rocq.inria.fr

• Fourier analysis
• Generalized functions
• Distribution
• Functional analysis
• Fourier transform

Quadratic programming for inverse dynamics with optimal distribution of contact forces Ludovic Righetti∗† and Stefan Schaal∗† ∗ Computational Learning and Motor Control Lab

Source URL: www-clmc.usc.edu

Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics Tobias Gindele? J¨ org Wagner?

Source URL: jmlr.org

NILSEQUENCES AND A STRUCTURE THEOREM FOR TOPOLOGICAL DYNAMICAL SYSTEMS BERNARD HOST, BRYNA KRA, AND ALEJANDRO MAASS Abstract. We characterize inverse limits of nilsystems in topological dynamics, via a structure theorem

Source URL: www.math.northwestern.edu