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Wolfgang Kemmetmüller

3 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
2025

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking

ICRA 2025

Forestry machines operated in forest production environments face challenges when performing manipulation tasks, especially regarding the complicated dynamics of underactuated crane systems and the heavy weight of logs to be grasped. This study investigates the feasibility of using reinforcement lea

Cited by 4SourceScholar