Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
In this paper, we extend the Hilbert space embedding approach to handle conditional distributions. We derive a kernel estimate for the conditional embedding, and show its connecti...
Le Song, Jonathan Huang, Alexander J. Smola, Kenji...
Abstract— This paper discusses the design principles and philosophy of the BiMASC, a biped with Mechanically Adjustable Series Compliance which incorporates tuned mechanical leg ...
Jonathan W. Hurst, Joel E. Chestnutt, Alfred A. Ri...
— This paper addresses a method to optimize the robot motion planning in dynamic environments, avoiding the moving and static obstacles while the robot drives towards the goal. T...
Due to their layered approach, Networks-on-Chip (NoC) are a promising communication backbone in the field of heterogeneous dynamically reconfigurable systems. In this paper a fu...
Ronald Hecht, Stephan Kubisch, Andreas Herrholtz, ...