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cs.RO2026

Collaborative Task and Path Planning for Heterogeneous Robotic Teams using Multi-Agent PPO

Matthias Rubio, Julia Richter, Hendrik Kolvenbach +1

Efficient robotic extraterrestrial exploration requires robots with diverse capabilities, ranging from scientific measurement tools to advanced locomotion. A robotic team enables t…

cs.RO2026

Path-conditioned Reinforcement Learning-based Local Planning for Long-Range Navigation

Mateo Haro, Julia Richter, Fan Yang +2

Long-range navigation is commonly addressed through hierarchical pipelines in which a global planner generates a path, decomposed into waypoints, and followed sequentially by a loc…

cs.RO2026

Large-Scale Autonomous Gas Monitoring for Volcanic Environments: A Legged Robot on Mount Etna

Julia Richter, Turcan Tuna, Manthan Patel +6

Volcanic gas emissions are key precursors of eruptive activity. Yet, obtaining accurate near-surface measurements remains hazardous and logistically challenging, motivating the nee…

cs.RO2026

MOSAIC: Modular Scalable Autonomy for Intelligent Coordination of Heterogeneous Robotic Teams

David Oberacker, Julia Richter, Philip Arm +10

Mobile robots have become indispensable for exploring hostile environments, such as in space or disaster relief scenarios, but often remain limited to teleoperation by a human oper…

cs.RO2026

A Practical Framework of Key Performance Indicators for Multi-Robot Lunar and Planetary Field Tests

Julia Richter, David Oberacker, Gabriela Ligeza +10

Robotic prospecting for critical resources on the Moon, such as ilmenite, rare earth elements, and water ice, requires robust exploration methods given the diverse terrain and hars…

cs.RO2024

Multi-Objective Global Path Planning for Lunar Exploration With a Quadruped Robot

Julia Richter, Hendrik Kolvenbach, Giorgio Valsecchi +1

In unstructured environments the best path is not always the shortest, but needs to consider various objectives like energy efficiency, risk of failure or scientific outcome. This…