Robohub.org
ep.

267

podcast
 

Robotic Weeding and Harvesting with Chris McCool and Chris Lehnert


by
19 August 2018



share this:


In this episode, Audrow Nash interviews Chris McCool and Chris Lehnert about different projects that relate to agriculture at the Queensland University of Technology. McCool speaks about a large robot for weed management in fields. The robot uses Real-time kinematic GPS (very accurate) and a camera with deep learning to recognize various types of plants. Lehnert speaks about a robot to harvest sweet peppers. The robot first grabs on to the sweet pepper with a suction cup and then uses a small saw to cut the fruit from the bush. Chris speaks about using their method for other crops, how their robot does in terms of deployment, and the future of agriculture.

A video of the AgBot II, the weeding robot that McCool discusses.

https://www.youtube.com/watch?time_continue=173&v=15tovWSnJe0

 

A video of Harvey, the robot to harvest sweet peppers that Lehnert discusses.

 

Chris McCool


Chris McCool is a Senior Researcher the Queensland University of Technology (QUT).  McCool is interested in applied image classification and its ability to help robots interact with their environment.  He holds a PhD and Batchelor’s from QUT.

 

Chris Lehnert

 

Chris Lehnert is a Robotics Lecturer at the Queensland University of Technology (QUT). He is interested in robotic manipulation, specifically in agriculture and for warehouse automation. Lehnert holds a PhD from QUT and a Bachelor of Engineering from the University of Queensland.

 

Links



tags: , , , ,


Audrow Nash is a Software Engineer at Open Robotics and the host of the Sense Think Act Podcast
Audrow Nash is a Software Engineer at Open Robotics and the host of the Sense Think Act Podcast

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

A ‘5-in-1’ seed-sized surgical robot

Mini robot can move, cut tissue, release drugs, grip and store samples, and generate heat wirelessly

AI agents create virtual playgrounds to help robots get crucial training data

  07 Aug 2026
“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.

Robots in society, business and culture: July 2026

A round up of robotics stories in a new monthly series from IEEE RAS.

Simulated zebrafish and a vision-equipped robotic fish reveal how the body shapes brain circuits

Researchers look to the fish brain to create a robotic zebrafish that can autonomously swim upstream.

Researchers develop modular nanorobot

  31 Jul 2026
A team at the University of Basel has developed a versatile nanorobot with propulsion and payload modules.

Surviving the paper deluge: a one-year study in learning from demonstration

With the explosion of robotics research, staying current in fields like Learning from Demonstration is a monumental challenge.

Soft robotic heart offers new way to study disease and test life-saving devices

Researchers have developed a soft robotic model of the human heart that can mimic disease and provide a realistic environment for testing the next generation of cardiac devices.

A mini robot to simplify dental treatment

  24 Jul 2026
Researchers have developed a miniature dental robot that could one day automatically prepare teeth for crowns.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence