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Matthias Kerzel

7 accepted papers

2025

Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks

IROS 2025

Datasets for object detection often do not account for enough variety of glasses, due to their transparent and reflective properties. Specifically, open-vocabulary object detectors, widely used in embodied robotic agents, fail to distinguish subclasses of glasses. This scientific gap poses an issue

Cited by 0SourceScholar
2022

What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning

IJCAI 2022poster

Understanding spatial relations is essential for intelligent agents to act and communicate in the physical world. Relative directions are spatial relations that describe the relative positions of target objects with regard to the intrinsic orientation of reference objects. Grounding relative directi…

2021

Robotic Occlusion Reasoning for Efficient Object Existence Prediction

IROS 2021poster

Reasoning about potential occlusions is essential for robots to efficiently predict whether an object exists in an environment. Though existing work shows that a robot with active perception can achieve various tasks, it is still unclear if occlusion reasoning can be achieved. To answer this questio…

Cited by 8SourceScholar
2019

Exploring Low-level and High-level Transfer Learning for Multi-task Facial Recognition with a Semi-supervised Neural Network

IROS 2019poster

Facial recognition tasks like identity, age, gender, and emotion recognition received substantial attention in recent years. Their deployment in robotic platforms became necessary for the characterization of most of the non-verbal Human-Robot Interaction (HRI) scenarios. In this regard, deep convolu…

Cited by 1SourceScholar
2018

Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot

IROS 2018poster

We present a novel approach for interactive auditory object analysis with a humanoid robot. The robot elicits sensory information by physically shaking visually indistinguishable plastic capsules. It gathers the resulting audio signals from microphones that are embedded into the robotic ears. A neur…

Cited by 21SourceScholar
2018

Hear the Egg - Demonstrating Robotic Interactive Auditory Perception

IROS 2018poster

We present an illustrative example of an interactive auditory perception approach performed by a humanoid robot called NICO, the Neuro Inspired COmpanion [1]. The video demonstrates a material classification task in the style of a classic TV game show. NICO and another candidate are supposed to dete…

Cited by 5SourceScholar
2018

Object Detection and Pose Estimation Based on Convolutional Neural Networks Trained with Synthetic Data

IROS 2018poster

Instance-based object detection and fine pose estimation is an active research problem in computer vision. While the traditional interest-point-based approaches for pose estimation are precise, their applicability in robotic tasks relies on controlled environments and rigid objects with detailed tex…

Cited by 51SourceScholar