Source: TANNER RESEARCH, INC. submitted to
AN AUTONOMOUS ROBOT FOR FIELD TRANSPORT OF STRAWBERRIES
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
TERMINATED
Funding Source
Reporting Frequency
Annual
Accession No.
1006369
Grant No.
2015-33610-23536
Project No.
CALW-2015-00715
Proposal No.
2015-00715
Multistate No.
(N/A)
Program Code
8.13
Project Start Date
Jun 1, 2015
Project End Date
Apr 30, 2016
Grant Year
2015
Project Director
Tanner, J.
Recipient Organization
TANNER RESEARCH, INC.
825 S MYRTLE AVE
MONROVIA,CA 91016
Performing Department
(N/A)
Non Technical Summary
The demand for affordable, nutritious, and delicious strawberries continues to grow while the availability of manual field laborers continues to decline. Current strawberry picking operations require the picker to spend time carrying each picked box of strawberries to the edge of the field to a collection station. Our proposed autonomous four-wheeled strawberry transport robot could carry the picked boxes of strawberries out of the field while the picker continues to pick. In this way, the picker can pick more and thus earn more, and the farmer can save money by picking the same number of strawberries with fewer laborers or the farmer can increase production with the same labor. We are designing the robots to be so light weight that they will not be a danger to the pickers.In order for the robots to save money by replacing human time, the robots must be inexpensive. We have designed a low cost platform using plastic components and we use low cost electric motors developed for high-volume consumer products. During this effort, we will utilize our software expertise as well as the robotics knowledge from our Caltech partners in order to design the guidance system for the autonomous robot so that it can follow the furrows in the strawberry field, avoid collisions, and transport the strawberries to the collection station without human intervention. The availability of powerful computers at affordable prices, allows for the first time the sophistication of autonomous operation at a cost such that increasing the production of a manual laborer is economical.We expect that trials with the robots developed under this project will demonstrate an increase in productivity of the human pickers of 50%. Strawberry farmers in our area understand the economics of automated transport very well and are eagerly anticipating using the robots developed under this effort.
Animal Health Component
0%
Research Effort Categories
Basic
10%
Applied
10%
Developmental
80%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
40211222020100%
Knowledge Area
402 - Engineering Systems and Equipment;

Subject Of Investigation
1122 - Strawberry;

Field Of Science
2020 - Engineering;
Goals / Objectives
The ultimate goal of this project is to enhance the productivity of strawberry pickers through automating the transport of their picked berries from the center of the field to the collection stations at the edge of the field. By eliminating the 1/3 of their time that they spend transporting the berries, the pickers can pick 50% more berries and thus make more money and the farmers can get more berries from the field even in the face of a decreasing labor force. Strawberries in California alone spend $600M/year on picking labor, thus presenting an opportunity to achieve $300M/year more in productivity from that labor by using autonomous transport robots in conjunction with human pickers.
Project Methods
Our work will build on a strawberry transport platform that we have been developing over the last two years using limited internal funds. This platform uses a frame and motor mounts constructed from a combination of low-cost PVC plastic pipes and special-purpose parts designed and 3D printed by us using ABS plastic. Each of the four wheels has its own drive motor and steer motor. The low level drive electronics, motor sensors, and servo controls are implemented by a combination of off-the-shelf and custom electronics, including an Arduino board.The vision system consists of a dual-core fanless PC receiving image data over USB from web cameras. While the steer and drive systems have been demonstrated, the Phase I effort will be focused on the image processing software. With guidance from our Caltech collaborators, we will use OpenCV and ROS open-source software systems as a base for our specialized software to implement the four basic Phase I algorithms: furrow tracking, collision avoidance, picker following, picker leading.Office software development will be augmented by laboratory and parking lot trial runs, with progression to real strawberry field operations within an hour's drive of our location as soon as possible. Terry Farms in Venture (NW of us) and OC Produce in Irvine (SE of us) are both extremely interested in the outcome of this project and have volunteered their fields and staff for trials.

Progress 06/01/15 to 04/30/16

Outputs
Target Audience:Our Phase I effort was focused on R&D, not marketing, but the testing of our robot involved contact with and cooperation from potential end customers likeTerry Farms (medium-sized strawberry grower) and Driscoll/Reiter (large strawberry grower). Toward the end of our pending Phase II effort and thereafter, we will be reaching out to the 450 strawberry farms in California, starting with the 1/4 of these closest to us in Southern California. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?For three months during Phase I, a UCLA mechanical engineering intern, Merrick Campbell, worked on this project. He has since graduated from UCLA and has accepted our job offer to join the Tanner Research staff full time with his initial assignment to work on the Phase II of this project. How have the results been disseminated to communities of interest? Nothing Reported What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

Impacts
What was accomplished under these goals? The four Phase I technical objectives listed below were all in support of retiring the biggest risk factor: Can the control software achieve necessary autonomous operation within the cost, weight, and power budget of the robot's sensors, and computational resources? We focused on the most computationally intensive tasks during Phase I, namely: Furrow tracking Collision avoidance Picker following Picker leading The technical objectives were to create robot control and guidance software that can perform each of these functions in real field conditions. During Phase I, we accomplished each of these objectives as reported in the final report and highlighted with video clips here: http://www.tanner.com/robotics/Vision-Guided_Capabilities.html

Publications