Bimanual Grape Manipulation for Human-Inspired Robotic Harvesting

Most existing robotic harvesters utilize a unimanual approach with a single arm grasping and detaching the crop, either via a detachment movement, or stem cutting by a specially designed gripper/cutter end-effector. However, such unimanual solutions cannot be applied for sensitive crops and cluttered environments such as grapes, where obstacles may occlude the stem, leaving no space for the cutter's placement. In such cases, the solution would require a bimanual robot that visually unveils the stem, while manipulating the grasped crop to create cutting affordances. Considering grapes vertical trellis setups, a dual-arm coordinated motion control methodology is proposed in this work for reaching a stem precut state. The camera equipped arm with the cutter reaches the stem, visually unveiling it, while the second arm moves the grasped grape toward the surrounding free-space, facilitating its stem cutting. In-lab experimental validation and extensive evaluation in a real vineyard with the BACCHUS bimanual harvesting platform demonstrate the performance of the proposed approach.

Authors

Institutions

Publication Details

Journal
IEEE/ASME Transactions on Mechatronics
Published
2024-10-02
DOI
https://doi.org/10.1109/tmech.2024.3459479
Citations
7
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
2.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bimanual Grape Manipulation for Human-Inspired Robotic Harvesting

Sotiris Stavridis, Λεωνίδας Δρούκας, Zoe Doulgeri
7 citations
IEEE/ASME Transactions on Mechatronics
Robot Manipulation and Learning
2.30
article

Bimanual Grape Manipulation for Human-Inspired Robotic Harvesting

Sotiris Stavridis, Λεωνίδας Δρούκας, Zoe Doulgeri
article en
7 citations

Abstract

Most existing robotic harvesters utilize a unimanual approach with a single arm grasping and detaching the crop, either via a detachment movement, or stem cutting by a specially designed gripper/cutter end-effector. However, such unimanual solutions cannot be applied for sensitive crops and cluttered environments such as grapes, where obstacles may occlude the stem, leaving no space for the cutter's placement. In such cases, the solution would require a bimanual robot that visually unveils the stem, while manipulating the grasped crop to create cutting affordances. Considering grapes vertical trellis setups, a dual-arm coordinated motion control methodology is proposed in this work for reaching a stem precut state. The camera equipped arm with the cutter reaches the stem, visually unveiling it, while the second arm moves the grasped grape toward the surrounding free-space, facilitating its stem cutting. In-lab experimental validation and extensive evaluation in a real vineyard with the BACCHUS bimanual harvesting platform demonstrate the performance of the proposed approach.

IEEE/ASME Transactions on MechatronicsVol. 30(4)
Aristotle University of Thessaloniki (GR)
Zero hunger
Openalex Percentile: Top 11%
Robot Manipulation and Learning
2.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Bimanual Grape Manipulation for Human-Inspired Robotic Harvesting — Sotiris Stavridis, Λεωνίδας Δρούκας, et al. · IEEE/ASME Transactions on Mechatronics (2024) | TGRS Research Map | TGRS