Robohub Podcast

Robots Podcast #179: European Robotics, with European Robotics Forum, Cécile Huet and Uwe Haass

#179: European Robotics, with European Robotics Forum, Cécile Huet and Uwe Haass

In this episode, Audrow Nash interviews Christina Brester, from the Siberian State Aerospace University, about her research on a method to identify emotional state from speech. This method performs speech analysis with a self-adaptive, multi-objective, genetic algorithm for feature selection and uses a neural network to classify those features. In this interview, we’ll discuss exactly what that means, as well as the implications and future of this research.

Robots: Speech-Based Emotion Recognition

Robots Podcast #178: Speech-Based Emotion Recognition, with Christina Brester

#178: Speech-Based Emotion Recognition, with Christina Brester

#177: Artificial Neural Networks and Intelligent Information Processing, with Kurosh Madani

In this episode, Audrow Nash interviews Kurosh Madani from the University of Paris-EST Créteil (UPEC) about neural networks. The talk begins with an overview of neural networks before discussing their possible applications.

Robots: Artificial Neural Networks and Intelligent Information Processing

Robots Podcast #177: Artificial neural networks and intelligent information processing, with Kurosh Madani

Robots Podcast #176: Sensors for autonomous driving, with Christoph Stiller

In this episode, Audrow Nash interviews Christoph Stiller from the Karlsruhe Institute of Technology. Stiller speaks about the sensors required for various level of autonomous driving, as well as the ethics of autonomous cars, and his experience in the Defense Advanced Research Projects Agency (DARPA) Grand Challenge.

Robots: Sensors for Autonomous Driving

#176: Sensors for Autonomous Driving, with Christoph Stiller

Robots Podcast #175: Mobile robots and virtual worlds, with Riccardo Cassinis