About
23
Publications
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Citations
Introduction
Chen Peng currently works at the Department of Mechanical and Aerospace Engineering, University of California, Davis. Chen does research in Agricultural Robotics.
Current institution
Additional affiliations
August 2015 - March 2021
ZJU-Hangzhou Global Scientific and Technological Innovation Center
Position
- Reseacher
Description
- https://caseypen.github.io/
September 2015 - November 2015
Education
September 2012 - April 2015
September 2008 - June 2012
Publications
Publications (23)
Mechanizing the manual harvesting of fresh market fruits constitutes one of the biggest challenges to the sustainability of the fruit industry. During manual harvesting of some fresh-market crops like strawberries and table grapes, pickers spend significant amounts of time walking to carry full trays to a collection station at the edge of the field...
As an agricultural robot navigates in an orchard following a nominal path consisting of waypoints, it may encounter unknown static or dynamic obstacles. When that happens, the robot must generate in real-time feasible trajectories to avoid the obstacles with minimum deviation from the nominal path.
In this work, we address operating scenarios wher...
Localization is essential for a robot to navigate autonomously and perform orchard operations such as spraying, scouting, and transporting materials. In contrast to open fields, localization based solely on the Global Navigation Satellite System (GNSS) is not stable in many orchards, where tree canopies may block the GNSS signal or introduce multip...
Manual harvesting of fresh-market crops like strawberries is very labor-intensive. Apart from picking fruits, pickers spend significant amounts of time carrying full trays to a collection station at the edge of the field. Small teams of harvest-aid robots that help large picking crews by transporting empty and full trays can increase harvest effici...
Harvest-aid robots that transport empty and full trays during manual harvesting of specialty crops such as strawberries or table grapes can increase harvest efficiency, by reducing pickers' non-productive walking times. In Part I of this work, a modeling framework, and a stochastic simulator were presented for all-manual and robot-aided harvesting....
High-resolution yield maps for manually harvested crops are impractical to generate on commercial scales because yield monitors are available only for mechanical harvesters. However, precision crop management relies on accurately determining spatial and temporal yield variability. This study presents the development of an integrated system for prec...
Autonomous agricultural vehicles (AAVs), including field robots and autonomous tractors, are becoming essential in modern farming by improving efficiency and reducing labor costs. A critical task in AAV operations is headland turning between crop rows. This task is challenging in orchards with limited headland space, irregular boundaries, operation...
Autonomous Remotely Operated Vehicles (ROVs) offer a promising solution for automating fishnet inspection, reducing labor dependency, and improving operational efficiency. In this paper, we modify an off-the-shelf ROV, the BlueROV2, into a ROS-based framework and develop a localization module, a path planning system, and a control framework. For re...
The strawberry farming is labor-intensive, particularly in tasks requiring dexterous manipulation such as picking occluded strawberries. To address this challenge, we present the Strawberry Robotic Operation Interface (SROI), an open-source device designed for collecting dexterous manipulation data in robotic strawberry farming. The SROI features a...
Autonomous agricultural vehicles (AAVs), including field robots and autonomous tractors, are becoming essential in modern farming by improving efficiency and reducing labor costs. A critical task in AAV operations is headland turning between crop rows. This task is challenging in orchards with limited headland space, irregular boundaries, operation...
Headland maneuvering is a crucial part of the field operations performed by autonomous agricultural vehicles (AAVs). While motion planning for headland turning in open fields has been extensively studied and integrated into commercial autoguidance systems, the existing methods primarily address scenarios with ample headland space and thus may not w...
Headland maneuvering is a crucial aspect of unmanned field operations for autonomous agricultural vehicles (AAVs). While motion planning for headland turning in open fields has been extensively studied and integrated into commercial auto-guidance systems, the existing methods primarily address scenarios with ample headland space and thus may not wo...
Introduction
Estimating and understanding the yield variability within an individual field is critical for precision agriculture resource management of high value tree crops. Recent advancements in sensor technologies and machine learning make it possible to monitor orchards at very high spatial resolution and estimate yield at individual tree leve...
GPS-based navigation in orchards can be unstable because trees may block the GPS signal or introduce multipath errors. Most research on robot navigation without GPS has focused on guidance inside orchard rows; end-of-row detection has not received enough attention. Additionally, navigation between rows relies on reference maps or artificial landmar...
The cover image is based on the Research Article A strawberry harvest-aiding system with crop-transport collaborative robots: Design, development, and field evaluation by Chen Peng et al., https://doi.org/10.1002/rob.22106.
Mechanizing the manual harvesting of fresh market fruits constitutes one of the biggest challenges to the sustainability of the fruit industry. During manual harvesting of some fresh-market crops like strawberries and table grapes, pickers spend significant amounts of time walking to carry full trays to a collection station at the edge of the field...
A robust navigation system is a prerequisite for a mobile robotic platform to carry out precision agriculture tasks in a modern orchard. In contrast to open fields, navigation based solely on the Global Navigation Satellite System (GNSS) is not stable in many orchards, where tree canopies may block the GNSS signal or introduce multipath. Many works...
Mechanizing the manual harvesting of fresh market fruits constitutes one of the biggest challenges to the sustainability of the fruit industry. During manual harvesting of some fresh-market crops like strawberries and table grapes, pickers spend significant amounts of time walking to carry full trays to a collection station at the edge of the field...
Manual harvesting of fresh-market crops, like strawberries, table grapes, cherry tomatoes, and berry fruits, is costly and labor-intensive. These crops are planted in parallel rows with furrows/aisles between them. Pickers walk inside rows or furrows as they harvest selectively, based primarily on ripeness criteria. Each picker places the harvested...
Some specialty crops, such as strawberries and table grapes, are harvested by large crews of pickers who spend significant amounts of time carrying empty and full (with the harvested crop) trays. A step toward increasing harvest automation for such crops is to deploy harvest-aid robots that transport the empty and full trays, thus increasing harves...
An emerging trend in agricultural field operations is the deployment of supervised autonomous teams of cooperating agricultural self-propelled machines. During such operations several machines (Agricultural Primary Units - APUs) perform the main field task (e.g., spraying, harvesting), and other machines (Field Service Units - FSUs) provide in-fiel...
A small team of harvest-aiding mobile robots (FRAIL-bots) is being designed to aid large teams of human pickers in commercial strawberry harvesting by providing them with empty containers and transporting containers filled with harvested crops to collection stations at the edge of a field. The collective operation of these robots can serve requests...
