Felix Burget

A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain-computer interfacing

W. Burgard, B. Nebel, M. Völker, 2019, Robotics Auton. Syst..

Closed-Loop Robot Task Planning Based on Referring Expressions

Wolfram Burgard, Bernhard Nebel, Moritz Göbelbecker, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A Closed-Loop System for Real-Time Calibration of Neural Stimulation Parameters using Motion Data

W. Burgard, Massimo Cenciarini, Maren Bennewitz, 2014 .

BI2RRT*: An efficient sampling-based path planning framework for task-constrained mobile manipulation

Wolfram Burgard, Maren Bennewitz, Felix Burget, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Whole-body motion planning for manipulation of articulated objects

Maren Bennewitz, Armin Hornung, Felix Burget, 2013, 2013 IEEE International Conference on Robotics and Automation.

Real-time imitation of human whole-body motions by humanoids

Maren Bennewitz, Jonas Koenemann, Felix Burget, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Learning motor control parameters for motion strategy analysis of Parkinson's disease patients

Wolfram Burgard, Maren Bennewitz, Christoph Maurer, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Deep Learning Based BCI Control of a Robotic Service Assistant Using Intelligent Goal Formulation

Wolfram Burgard, Tonio Ball, Bernhard Nebel, 2018, bioRxiv.

Stance selection for humanoid grasping tasks by inverse reachability maps

Maren Bennewitz, Felix Burget, Maren Bennewitz, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).