Bart Milne

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About

Bart Milne is a pioneering robotics engineer whose research focuses on the automation of forestry harvesting, with a particular emphasis on developing robotic systems for steep-terrain and plantation environments. His major contributions lie in the design and implementation of sensor-guided, semi-autonomous tree felling machines, including a novel bipedal robot that uses arboreal locomotion—inspired by monkeys—to traverse and harvest Pinus Radiata on challenging slopes. Milne’s work on tree trunk recognition and localization, using LiDAR and other sensors, has been foundational for enabling autonomous forestry robots to identify tree position, size, and orientation in real-world forest conditions. His most cited paper, “A novel tree trunk recognition approach for forestry harvesting robot” (2014), has garnered 10 citations, while his subsequent studies on sensor-guided felling and LiDAR-based detection have accumulated 6 and 5 citations respectively. Though his citation counts are modest, Milne’s research is notable for its practical, field-oriented approach to solving critical bottlenecks in forestry automation—such as safe navigation and precise felling on uneven terrain—and for introducing bio-inspired locomotion strategies that had not been previously applied in this domain. His work directly supports New Zealand’s timber industry by aiming to boost productivity and safety in the face of global competition.