6 citations · 7 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing
Julius Rückin, Liren Jin, Marija Popović
Aerial robots are increasingly being utilized for environmental monitoring and exploration. However, a key challenge is efficiently planning paths to maximize the information value…