Daniel Kappler studied Computer-Science at the Karlsruhe Institute of Technology (KIT), in Germany, focusing on machine learning and robotics. He was a visiting researcher at the Robotics Institute at Carnegie Mellon University (CMU) in 2010, where he worked on object manipulation prior to grasping. In 2012 he received his Diploma, conducted as a visiting researcher at the Istituto Italiano di Tecnologia (IIT), for his work on transfer learning. Daniel joined the Autonomous Motion Department at the Max-Planck Institute for Intelligent Systems in November 2012, where he is currently pursuing a PhD. His main research interests are in data-driven learning techniques for dexterous robot manipulation, including perception of objects at speed, grasp planning for unknown objects, and online sensor prediction for real-time decision making.

Humanoid Robotics Grasping and Manipulation Sensor Prediction Representation Learning Machine Learning