Rainer Kartmann — accepted AI-conference papers

2020

Representing Spatial Object Relations as Parametric Polar Distribution for Scene Manipulation Based on Verbal Commands

Rainer Kartmann, You Zhou, Danqing Liu, Fabian Paus, Tamim Asfour

IROS 2020poster

Understanding spatial relations is a key element for natural human-robot interaction. Especially, a robot must be able to manipulate a given scene according to a human verbal command specifying desired spatial relations between objects. To endow robots with this ability, a suitable representation of…

Cited by 10 Source ↗Scholar ↗

2018

Extraction of Physically Plausible Support Relations to Predict and Validate Manipulation Action Effects

Rainer Kartmann, Fabian Paus, Markus Grotz, Tamim Asfour

RA-L 2018

Reliable execution of robot manipulation actions in cluttered environments requires that the robot is able to understand relations between objects and reason about consequences of actions applied to these objects. We present an approach for extracting physically plausible support relations between o

Cited by 34 Source ↗Scholar ↗