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Marcus Geimer

3 accepted papers

2025

Reinforcement Learning-Based Autonomous Control Methodology of Hydraulic Excavators

IROS 2025

The automation of hydraulic excavators is significant for enhancing productivity and safety in uncertain and dynamic environments. Achieving autonomous operation requires advanced control strategies capable of handling system constraints, nonlinear hydraulic dynamics, and complex environmental inter

Cited by 0SourceScholar
2024

Automatic Loading of Unknown Material with a Wheel Loader Using Reinforcement Learning

ICRA 2024poster

Loading multiple different materials with wheel loaders is a challenging task because various materials require different loading techniques. It’s, therefore, difficult to find a single controller capable of handling them all. One solution is to use a base controller and fine-tune it for different m…

Cited by 3SourceScholar
2024

Long-Term Map-Maintenance in Changing Environments using Ray-Bundle-Impact-Factor Estimation

IROS 2024poster

Ensuring an accurate and robust localization is one of the most significant problems in the field of mobile robotics. In this context, map-based localization methods utilizing 3D LiDARS for environmental perception are widely used. Even if there exist multiple promising techniques in this field, the…

Cited by 0SourceScholar