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arXiv Computer Vision By Ciar\'an Miceal Johnson, Christopher Quail, Garry Ellard, Alistair McConnell, Steve Tonneau, Fernando Auat Cheein

ALFRED: Requirement-driven development of an open-source mobile manipulator for long-term plant monitoring

Read the original on arXiv Computer Vision →

ALFRED is an open‑source mobile manipulator designed for long‑term plant monitoring, built from commercial parts and featuring a six‑degree‑of‑freedom arm, LiDAR, RGB‑D cameras, RTK GNSS, and an IMU on an Ackermann‑steered base. The platform was iteratively refined over four builds to meet six requirements—durability, modularity, repairability, sensing reach, endurance, and reproducibility—resulting in a 66.1% usable arm reach and clear LiDAR views in the final build. Over a year of monthly forest surveys, ALFRED completed 528 traversals without missing a scheduled collection, demonstrating its reliability despite battery wear and rapid build transitions.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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