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Visuomotor Robotic Pruning in Planar Orchards Using Hybrid Reinforcement Learning

Paper recorded by Signals 4 on 2026-09-21 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-21 on arXiv · recorded by Signals 4 on 2026-09-22

Category: cs.AI · 人工智能 · first seen 2026-09-22

Abstract

Dormant tree pruning is labor-intensive yet essential for maintaining modern high-productivity fruit orchards. In this work, we focus on pruning of modern planar tree training systems - V-Trellis apples and UFO cherries - where trunks and primary branches are trained into approximately planar walls. We introduce an end-to-end pipeline to learn a closed-loop visuomotor controller for robotic prunin

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#14 most recent of 340 cs.AI papers we have recorded · ↑ newer: BackTrend: Evaluating Scientific Weak-Signal Prediction via Backward R · ↓ older: OSWorld-Pro: Process-based Evaluation for Computer Use Agents
Cite this page: Visuomotor Robotic Pruning in Planar Orchards Using Hybrid Reinforcement Learning: the #14 most recent of 340 cs.AI papers we have recorded (as of 2026-09-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/visuomotor-robotic-pruning-in-planar-orchards-using-hybrid-reinforcement-learnin.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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