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Christoph Fröhlich

2 accepted papers

2025

Efficient Collision Detection for Long and Slender Robotic Links in Euclidean Distance Fields: Application to a Forestry Crane

IROS 2025

Collision-free motion planning in complex outdoor environments relies heavily on perceiving the surroundings through exteroceptive sensors. A widely used approach represents the environment as a voxelized Euclidean distance field, where robots are typically approximated by spheres. However, for larg

Cited by 1SourceScholar
2025

Near Time-Optimal Hybrid Motion Planning for Timber Cranes

ICRA 2025

Efficient, collision-free motion planning is essential for automating large-scale manipulators like timber cranes. They come with unique challenges such as hydraulic actuation constraints and passive joints-factors that are seldom addressed by current motion planning methods. This paper introduces a

Cited by 4SourceScholar