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Julius Rückin

3 papers hereh-index 14 citations1 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.RO3

identity via Semantic Scholar / OpenAlex

most citedMulti-UAV Adaptive Path Planning Using Deep Reinforcement Learning

6 citations · 6 across the 1 of their papers we have counts for

collaborators

3 papers

cs.RO2024

Learning-based Methods for Adaptive Informative Path Planning

Marija Popovic, Joshua Ott, Julius Rückin +1

Adaptive informative path planning (AIPP) is important to many robotics applications, enabling mobile robots to efficiently collect useful data about initially unknown environments…

cs.RO2023★ 6 cited

Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning

Jonas Westheider, Julius Rückin, Marija Popović

Efficient aerial data collection is important in many remote sensing applications. In large-scale monitoring scenarios, deploying a team of unmanned aerial vehicles (UAVs) offers i…

cs.RO2023

Graph-based View Motion Planning for Fruit Detection

Tobias Zaenker, Julius Rückin, Rohit Menon +2

Crop monitoring is crucial for maximizing agricultural productivity and efficiency. However, monitoring large and complex structures such as sweet pepper plants presents significan…

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