Christian Plagemann https://validator.w3.org/feed/docs/rss2.html Google Tone: Share the way you speak Google’s latest experiment brings new superpowers to Chrome browsers Google Tone. Share the way you speak! (Un)folding a virtual journey About Google’s road to virtual reality begins with Cardboard Congrats, Dr Varun Ganapathi! Google Cardboard: Seriously Fun Robotic body schema adaptation Body Schema Learning Stanford Autonomous Parking (video only) Stanford Autonomous Parking (full details) 2008 Terreiro Capoeira Batizado Proceedings of the 10th International Conference on Intelligent Autonomous Systems Real-Time Human Pose Tracking from Range Data Body Schema Learning Assisted Highway Lane Changing with RASCL Real Time Motion Capture Using a Single Time-of-Flight Camera Super-Resolution of Range Data in Dynamic Environments Using a Gaussian Framework Realtime Identification and Localization of Body Parts from Depth Images A Probabilistic Approach to Mixed Open-loop and Closed-loop Control, with Application to Extreme Autonomous Driving A Nonparametric Learning Approach to Range Sensing from Omnidirectional Vision A Bayesian Regression Approach to Terrain Mapping and an Application to Legged Robot Locomotion Look-ahead Proposals for Robust Grid-based SLAM with Rao-Blackwellized Particle Filters Planning and Failure Detection Body Schema Learning for Robotic Manipulators from Visual Self-Perception Learning Gas Distribution Models using Sparse Gaussian Process Mixtures Classifying Dynamic Objects: An Unsupervised Learning Approach Learning Kinematic Models for Articulated Objects. Unsupervised Discovery of Object Classes from Range Data using Latent Dirichlet Allocation. Probabilistic Situation Recognition and its Application to Vehicular Traffic Situations Modeling RFID Signal Strength and Tag Detection for Localization and Mapping Gaussian Processes for Flexible Robot Learning Nonstationary Gaussian Process Regression using Point Estimates of Local Smoothness Learning Predictive Terrain Models for Legged Robot Locomotion Efficiently Learning High-dimensional Observation Models for Monte-Carlo Localization using Gaussian Mixtures Estimating Landmark Locations from Geo-Referenced Photographs Adaptive Body Scheme Models for Robust Robotic Manipulation Gas Distribution Modeling Using Sparse Gaussian Process Mixture Models Tracking and Classification of Dynamic Objects: An Unsupervised Learning Approach Verteilte Software-Entwicklung in der Robotik – ein Integrations- und Testframework Monocular Range Sensing: A Non-Parametric Learning Approach Unsupervised Body Scheme Learning through Self-Perception Gaussian Mixture Models for Probabilistic Localization Improved Likelihood Models for Probabilistic Localization based on Range Scans Autonomous Blimp Control using Model-free Reinforcement Learning in a Continuous State and Action Space A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders Adaptive Non-Stationary Kernel Regression for Terrain Modeling