Karlsruher Institut für Technologie (KIT)

Karlsruher Institut für Technologie (KIT)

www.kit.edu

Institut für Produktentwicklung (IPEK),
Fakultät für Maschinenbau,
Karlsruher Institut für Technologie (KIT)

IPEK – Institute of Product Engineering is a research facility at the Karlsruhe Institute of Technology (KIT). The field of research is scientific product development and innovation with a focus on drive systems and mobility. A key aspect is the development of model based and experimental product validation methods, which are applied to different cases such as the identification of dynamic phenomena and their causes in the vehicle, the analysis of energy efficiency measures or the examination of dry and lubricated friction systems within complex drive systems.
www.ipek.kit.edu

Lehrstuhl für Hochperformante Humanoide Technologien (H²T),
Institut für Anthropomatik und Robotik (IAR),
Fakultät für Informatik,
Karlsruher Institut für Technologie (KIT)

The Humanoid Robotics Systems - High Performance Humanoid Technologies Lab (H2T) at the Institute for Anthropomatics and Robotics, Faculty of Informatics, focuses on the engineering of integrated 24/7 humanoid robotics systems able to predict and act in the real world, to autonomously acquire knowledge about the world and to interact and collaborate with humans in open-ended environments. The major research topics of the group include humanoid mechano-informatics, grasping, dexterous and mobile manipulation, learning from human observation and robot programming by demonstration, active vision and active touch, multimodal exploration, understanding human motion, robotics software and hardware architectures and system integration.
h2t.anthropomatik.kit.edu

Lehrstuhl für Intelligente Sensor-Aktor-Systeme (ISAS),
Institut für Anthropomatik und Robotik (IAR),
Fakultät für Informatik,
Karlsruher Institut für Technologie (KIT)

The Intelligent Sensor-Actuator-Systems (ISAS) laboratory, lead by Prof. Dr.-Ing. Uwe D. Hanebeck, has 20 years of experience in the field of stochastic state and parameter estimation. The research focuses on efficient methods for nonlinear state estimation, methods for the simultaneous identification and estimation of uncertain model parameters and system states, filter methods based on systematic approximations of probability density functions, and tracking methods for extended objects as well as the tracking of multiple objects.
isas.iar.kit.edu