Navigating with Finesse: Leveraging Neural Network-based Lidar Perception and iLQR Control for Intelligent Agriculture Robotics-Reference-Cited by-同舟云学术

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Navigating with Finesse: Leveraging Neural Network-based Lidar Perception and iLQR Control for Intelligent Agriculture Robotics

Published:2023-10-09 Issue: Volume: Page:
ISSN:
Container-title:2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE)
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Author:

Pinto Francisco Affonso¹,Tommaselli Felipe Andrade G.¹,Gasparino Mateus V.²,Becker Marcelo¹

Affiliation:

1. University of São Paulo, EESC – USP,Robotics Lab. Mobile Robotics Group - LabRom,Mechanical Engineering Department,São Carlos,Brazil

2. University of Illinois at Urbana-Champaign (UIUC),Field Robotics Engineering and Science Hub (FRESH), Illinois Autonomous Farm,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10332459/10332917/10332981.pdf?arnumber=10332981

Reference17 articles.

1. Review of Wheeled Mobile Robots’ Navigation Problems and Application Prospects in Agriculture

2. Improved localization in a corn crop row using a rotated laser rangefinder for three-dimensional data acquisition

3. Under canopy light detection and ranging‐based autonomous navigation

4. Reactive navigation system based on H∞ control system and LiDAR readings on corn crops

5. CropNav: a Framework for Autonomous Navigation in Real Farms

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