Dandelion-Picking Legged Robot
Sandilya Sai Garimella, Shai Revzen

TL;DR
This paper presents a low-cost, easy-to-fabricate multilegged robot designed for agricultural tasks, demonstrating effective dandelion-picking with a simple appendage and highlighting the advantages of legged robots over wheeled ones in rough terrain.
Contribution
Introduction of a low-DoF multilegged robot for agriculture, showcasing its effectiveness in flower picking and suggesting optimal leg configurations for such applications.
Findings
The robot successfully picked dandelions using a swooping motion.
Six or more low-DoF legs offer a good balance of mobility and simplicity.
The approach reduces complexity and cost compared to existing legged robots.
Abstract
Agriculture is currently undergoing a robotics revolution, but robots using wheeled or treads suffer from known disadvantages: they are unable to move over rubble and steep or loose ground, and they trample continuous strips of land thereby reducing the viable crop area. Legged robots offer an alternative, but existing commercial legged robots are complex, expensive, and hard to maintain. We propose the use of multilegged robots using low-degree-of-freedom (low-DoF) legs and demonstrate our approach with a lawn pest control task: picking dandelions using our inexpensive and easy to fabricate BigANT robot. For this task we added an RGB-D camera to the robot. We also rigidly attached a flower picking appendage to the robot chassis. Thanks to the versatility of legs, the robot could be programmed to perform a ``swooping'' motion that allowed this 0-DoF appendage to pluck the flowers. Our…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRobotic Locomotion and Control · Soil Mechanics and Vehicle Dynamics · Modular Robots and Swarm Intelligence
