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Markus Eich

4 accepted papers

2017

Teaching Robots Generalizable Hierarchical Tasks Through Natural Language Instruction

RA-L 2017

Natural language provides a convenient means of communicating information, and as such, is an ideal medium for enabling nonexpert users to teach robots novel tasks. However, in order to take advantage of natural language, a series of challenges must first be overcome. These challenges include the ne

Cited by 15SourceScholar
2017

The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research

ICRA 2017poster

Robotic challenges like the Amazon Picking Challenge (APC) or the DARPA Challenges are an established and important way to drive scientific progress. They make research comparable on a well-defined benchmark with equal test conditions for all participants. However, such challenge events occur only o…

Cited by 102SourceScholar
2016

Geometrically consistent plane extraction for dense indoor 3D maps segmentation

IROS 2016poster

Modern SLAM systems with a depth sensor are able to reliably reconstruct dense 3D geometric maps of indoor scenes. Representing these maps in terms of meaningful entities is a step towards building semantic maps for autonomous robots. One approach is to segment the 3D maps into semantic objects usin…

Cited by 81SourceScholar
2016

UAV based target finding and tracking in GPS-denied and cluttered environments

IROS 2016poster

In this paper we describe and flight test a novel system architecture for low cost muti-rotor unmanned aerial vehicles (UAVs) for searching, tracking and following a ground target. The UAV uses only on-board sensors for localisation within a GPS-denied space with obstacles. This mission is formulate…

Cited by 34SourceScholar