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W. Burgard

2 accepted papers

2022

OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics

IROS 2022poster

Existing Deep Learning (DL) frameworks typically do not provide ready-to-use solutions for robotics, where very specific learning, reasoning, and embodiment problems exist. Their relatively steep learning curve and the different methodologies employed by DL compared to traditional approaches, along…

Cited by 27SourcecodeScholar
2018

Closed-Loop Robot Task Planning Based on Referring Expressions

IROS 2018poster

Increasing the accessibility of autonomous robots also for inexperienced users requires user-friendly and high-level control opportunities of robotic systems. While automated planning is able to decompose a complex task into a sequence of steps which reaches an intended goal, it is difficult to form…

Cited by 7SourceScholar