Robotic gardening: MIT course creates robot-tending tomatoes

March 10, 2009
Luke Johnson and Sam Dyar program an autonomous robotic arm. Photo: Jason Dorfman

(PhysOrg.com) -- In the middle of MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) sits a platform of fake grass with tomato plants nestled in terra cotta pots, growing under the light of an artificial sun. But this urban, indoor garden has a twist: the caretakers of the plants are entirely robotic.

The idea for tending to a garden without human hands came from work done by Nikolaus Correll, a postdoctoral assistant working in MIT Professor Daniela Rus’ Distributed Robotics Lab. Correll saw the possible applications of swarm robotics to an agricultural environment and thus the idea grew into a course in which students created robots capable of tending a small garden of tomatoes.

Each is outfitted with a and a watering pump, while the themselves are equipped with local soil sensing, networking and computation. This affords them the ability to communicate: plants can request water or nutrients and keep track of their conditions, including fruit produced; robots are able to minister to their charges, locate and pick a specific tomato, and even pollinate the plants.

A tool called LCM, or Lightweight Communications Marshaller, was used to allow the different robotic modules to communicate; the version used in the project came from the DARPA Grand Challenge Vehicle. The object recognition software is built on the back of LabelMe, an image annotation tool pioneered by Bryan Russell and Professors Antonio Torralba and Bill Freeman. And the robotic bases themselves? Re-imagined versions of iRobot’s Roomba.

The system, which Rus refers to as precision , has a double advantage over the way crops are currently cultivated and harvested. First, due to each plant’s ability to monitor and broadcast its own physical state, water, nutrients and care will be dispensed on an as-needed basis. This should allow for a great reduction in resources consumed in the growth process, ameliorating the heavy carbon footprint of today’s agriculture. Furthermore, a mechanical harvest removes the backbreaking work currently involved in reaping specialty crops such as fruits and vegetables.

In the long view, the researchers hope to develop a fully autonomous greenhouse, complete with robots, pots, and plants connected via computation, sensing and communication.

Correll is optimistic about future applications of the project and others like it. Looking past agriculture, he ruminated on other tasks to which this sort of system can be applied down the line. Tasks, for example, like automating services for older adults with low mobility in residential care facilities, or tending to plants in greenhouses or hydroponic farms. The technology, once perfected, is immensely adaptable, and hints at an exciting future of collaboration between humans, the natural world, and our machines, he said.

Provided by MIT

Explore further: Proving That Shape-Shifting Robots Can Get a Move On

Related Stories

Proving That Shape-Shifting Robots Can Get a Move On

September 16, 2004

It started with tennis balls. As a former collegiate tennis player, Daniela Rus habitually rolls two tennis balls around in her hand as she paces her office. As a robotics researcher at Dartmouth College, she wondered why ...

Meet Nexi, MIT Media Lab's latest robot and Internet star

April 10, 2008

A new experimental robot from the MIT Media Lab can slant its eyebrows in anger, or raise them in surprise, and show a wide assortment of facial expressions to communicate with people in human-centric terms. Called Nexi, ...

Genomics Research Focuses on Rice Variety Improvement

July 1, 2008

Crop varieties can be improved through the study of genomics without creating genetically transformed varieties. That is the mission of a multistate research project led by the University of Arkansas System’s Division of ...

Recommended for you

Smart home heating and cooling

August 28, 2015

Smart temperature-control devices—such as thermostats that learn and adjust to pre-programmed temperatures—are poised to increase comfort and save energy in homes.

Smallest 3-D camera offers brain surgery innovation

August 28, 2015

To operate on the brain, doctors need to see fine details on a small scale. A tiny camera that could produce 3-D images from inside the brain would help surgeons see more intricacies of the tissue they are handling and lead ...

Team creates functional ultrathin solar cells

August 27, 2015

(Phys.org)—A team of researchers with Johannes Kepler University Linz in Austria has developed an ultrathin solar cell for use in lightweight and flexible applications. In their paper published in the journal Nature Materials, ...

Interactive tool lifts veil on the cost of nuclear energy

August 24, 2015

Despite the ever-changing landscape of energy economics, subject to the influence of new technologies and geopolitics, a new tool promises to root discussions about the cost of nuclear energy in hard evidence rather than ...

3 comments

Adjust slider to filter visible comments by rank

Display comments: newest first

Szkeptik
not rated yet Mar 10, 2009
Nice experiment, but this is faaaaar away from being actually applied anywhere.
sstritt
1 / 5 (1) Mar 10, 2009
WOW! I would have been impressed by tomato-tending robots but this is phenomenal!
aroven
not rated yet Mar 11, 2009
"plants can request water or nutrients and keep track of their conditions"

uh... no, they can't. The sensors in the soil do that.

en.wikipedia.org/wiki/Pathetic_fallacy

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.