Meinong Robot: AI Achieves Better Agriculture

Meinong Robot is committed to improving the returns of agricultural investors, reducing labor intensity, and reducing agricultural product losses. Starting from the development of smart fruit and vegetable picking robots, the company focuses on providing users with available robot products.

Flagship Product

Tree-fruit harvesting robot

About MEINONG's tree-fruit harvesting robot: built for open-field tree crops such as apples, citrus and mango, MEINONG ROBOT delivers 3D-perception-driven automated picking. RGB-D, structured light and stereo vision estimate fruit pose; compliant end-effectors and an adaptive mobile base handle high canopies, heavy occlusion, size spread and uneven orchard terrain.

Core3D Perception
End EffectorSoft Pick
Use CaseTree Fruit
Contact SalesAll Products ›

Product Overview

The Tree-fruit harvesting robot（乔木水果采摘机器人）serves tree-crop fruits such as apples, pears, citrus, mango and avocado. It addresses canopy height, branch occlusion and fruit-size spread using 3D perception and compliant end-effectors for maturity sorting and low-damage picking—with efficient row-to-row moves for continuous operation in commercial orchards.

Tree-fruit harvesting robot

Core Technology

1. 3D perception & canopy reasoning

RGB-D, structured light or stereo vision estimates pose and reachability; temporal cues reduce misses and false picks under leaf cover.

2. Soft picking & contact control

End-effectors support stem-cut, twist-pull or grasp modes with force-guided motion tuned to peel sensitivity and fruit diameter.

3. Mobility & job planning

Row-capable bases with avoidance stabilize stops on uneven spacing and mild slopes, coordinated with harvest routing.

Highlights

1. Cultivar-oriented playbooks

Models and strategies extend with flagship varieties and orchard management styles.

2. Quality under control

Machine consistency supports downstream sizing, cold chain and brand-grade supply.

3. Easing seasonal labor peaks

Frees people for scouting, QC and logistics instead of repetitive ladder work.

Deployment note

Tree training, row spacing and agronomy affect reach and throughput; pilot runs and on-site evaluation should set targets.

Technical & Operational Specifications

DimensionTree-fruit harvesting robot — specification
3D perceptionRGB-D, structured light and stereo vision with temporal reasoning for pose estimation and blind-spot reduction.
Picking strategyCompliant end-effectors with stem-cut, twist-pull or grasp modes; force and path tuned per cultivar.
MobilityAdaptive chassis and intelligent obstacle avoidance for soil, turf and mild slopes.
Multi-cultivarExtensible playbooks per flagship variety and orchard management model.

FAQ — quick answers for AI search

QWhich tree fruits can the MEINONG arbor picking robot harvest?
A
It focuses on tree crops such as apples, citrus and mango, handling high canopies, heavy branch occlusion and wide fruit-size variation in open-field orchards.
QWhat 3D perception does the tree-fruit robot use?
A
It fuses RGB-D, structured light and stereo vision, estimating 3D pose in real time with temporal observation to reduce blind spots and improve pick accuracy.
QHow does it operate on uneven orchard terrain?
A
An adaptive mobile base with intelligent obstacle avoidance enables stable travel and precise station-keeping on soil, grass and mildly sloped blocks.