Max Pfingsthorn — accepted AI-conference papers

2026

ClaRO: A Cluster-Based Method for Radar Odometry

Eike Furuno, Pranav Megarajan, Christian Kowalski, Tim Claudius Stratmann, Max Pfingsthorn, Andreas Hein

RA-L 2026

We present ClaRO, an unsupervised, cluster-based odometry pipeline for 4D imaging radar to improve robustness and reduce long-term drift for radar-only odometry.Our core idea is to utilize density-based clustering to improve ego-motion estimation using per-cluster Doppler-residuals and find a local

Cited by 0 Source ↗Scholar ↗

2021

Geometry-Based Two-Contact Inverse Kinematic Solution for Whole Arm Manipulation

Pascal Gliesche, Christian Kowalski, Max Pfingsthorn, Andreas Hein

IROS 2021poster

Whole-arm manipulation (WAM) is often used to manipulate large and bulky objects. Contact point-based methods for generating the robot configurations for WAM mostly search for suitable contact points and configurations simultaneously. However, in order to learn good contact points, or allow an opera…

Cited by 3 Source ↗Scholar ↗