Biography

Steffan Lloyd received the B.Eng. degree in mechanical engineering in 2015 from Carleton University in Ottawa, Canada. He went on to receive the Ph.D. degree from the same institution in 2023, also in mechanical engineering. His doctoral research focused on optimization, design, and control for automatic precision robotic machining. Previously, Steffan worked as a mechanical designer at the aerospace robotics company Advanced Integration Technologies (AIT) in Umeå, Sweden (2016 to 2018). He also worked as Technical Manager for robotics startup MAE Robotics in Ottawa, Canada (2021 to 2023), where he oversaw the development of novel robotic systems for extreme environments. Steffan’s current research is on novel robotic design, planning, and mapping applications within the Norwegian forestry industry.

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Abstract

This article presents a novel, ultralight tree planting mechanism for use on an aerial vehicle. Current tree planting operations are typically performed manually, and existing automated solutions use large land-based vehicles or excavators which cause significant site damage and are limited to open, clear-cut plots. Our device uses a high-pressure compressed air power system and a novel double-telescoping design to achieve a weight of only 8 kg: well within the payload capacity of medium to large drones. This article describes the functionality and key components of the device and validates its feasibility through experimental testing. We propose this mechanism as a cost-effective, highly scalable solution that avoids ground damage, produces minimal emissions, and can operate equally well on open clear-cut sites as in denser, selectively-harvested forests.

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Abstract

This article presents SkyPlanter, the first drone-based system for aerial reforestation with tree seedlings. Traditional tree planting is labor-intensive, physically demanding, and expensive—making it ideal for automation. Current mechanized solutions depend on large, heavy, ground-based excavator-based solutions best suited for extensive clear-cuts, but which struggle on steep or uneven terrain, and carry prohibitive relocation costs for smaller operations. SkyPlanter is a drone-mounted seedling-planting system that enables it to easily traverse rugged or steep terrain while remaining inexpensive, easily transported, and highly scalable. It uses an ultra-lightweight compressed air planting mechanism that inserts seedlings and compacts the surrounding soil. Its innovative double-telescoping design reduces vehicle weight to 15.2 kg (without batteries) or 16.4–20.8 kg (with batteries, depending on flight duration). This article details the system’s novel planting and ground compression mechanisms, its unique high-pressure pneumatic power systems, and its custom quadrotor carrier drone. We demonstrate its feasibility in the first-ever aerial seedling-planting tests in a forest environment. The system is proposed as a cost-effective, scalable reforestation solution with high automation potential.