Online Word-Spotting in Continuous Speech with Recurrent Neural Networks

In this paper we introduce a simplified architecture for gated recurrent neural networks that can be used in single-pass applications, where word-spotting needs to be done in real-time and phoneme-level information is not available for training. The network operates as a self-contained block in a strictly forward-pass configuration to directly generate keyword labels.

Learn More









Inertial Parameter Estimation of Floating Base Humanoid Systems using Partial Force Sensing

In this work, we outline a theoretical framework for whole body inertial parameter estimation, including the unactuated floating base. Using a least squares minimization approach, conducted within the nullspace of unmeasured degrees of freedom, we are able to use a partial force sensor set for full-body estimation, e.g. using only joint torque sensors, allowing for estimation when contact force measurement is unavailable or unreliable (e.g. due to slipping, rolling contacts, etc.).

Learn More