TY - BOOK ID - 100581445 TI - Learning Dynamic Systems for Intention Recognition in Human-Robot-Cooperation PY - 2013 SN - 1000031356 3866449526 PB - KIT Scientific Publishing DB - UniCat KW - Intention Recognition KW - Dynamic Systems KW - (Conditional) Density Estimation KW - Regularization KW - Human-Robot-Cooperation UR - https://www.unicat.be/uniCat?func=search&query=sysid:100581445 AB - This thesis is concerned with intention recognition for a humanoid robot and investigates how the challenges of uncertain and incomplete observations, a high degree of detail of the used models, and real-time inference may be addressed by modeling the human rationale as hybrid, dynamic Bayesian networks and performing inference with these models. The key focus lies on the automatic identification of the employed nonlinear stochastic dependencies and the situation-specific inference. ER -