most citedControl of a Quadrotor with Reinforcement Learning

533 citations · 662 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2019

AMZ Driverless: The Full Autonomous Racing System

Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart +19

This paper presents the algorithms and system architecture of an autonomous racecar. The introduced vehicle is powered by a software stack designed for robustness, reliability, and…

cs.CV20171 cited

weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming

Inkyu Sa, Zetao Chen, Marija Popovic +4

Selective weed treatment is a critical step in autonomous crop management as related to crop health and yield. However, a key challenge is reliable, and accurate weed detection to…

cs.RO2017533 cited

Control of a Quadrotor with Reinforcement Learning

Jemin Hwangbo, Inkyu Sa, Roland Siegwart +1

In this paper, we present a method to control a quadrotor with a neural network trained using reinforcement learning techniques. With reinforcement learning, a common network can b…

cs.RO20174 cited

Multiresolution Mapping and Informative Path Planning for UAV-based Terrain Monitoring

Marija Popovic, Teresa Vidal-Calleja, Gregory Hitz +3

Unmanned aerial vehicles (UAVs) can offer timely and cost-effective delivery of high-quality sensing data. How- ever, deciding when and where to take measurements in complex enviro…

cs.RO2017124 cited

Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information

Inkyu Sa, Chris Lehnert, Andrew English +4

This paper presents a 3D visual detection method for the challenging task of detecting peduncles of sweet peppers (Capsicum annuum) in the field. Cutting the peduncle cleanly is on…