Peter Gregory

Papers

Total Citations

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About

Peter Gregory is a researcher whose work bridges artificial intelligence and horticultural science, with a primary focus on automated planning and root system biology. In AI, Gregory is best known for his contributions to domain model acquisition, particularly in numeric planning domains with action costs. His 2016 paper on this topic (18 citations) addresses a critical bottleneck in applying planning technology to real-world applications, such as autonomous robotics and industrial systems, by enabling machines to automatically learn planning models from observations. This work has significant implications for making planning systems more adaptable and practical in complex, resource-constrained environments. In parallel, Gregory has made notable contributions to horticultural science, co-authoring a 2016 study on root system architecture in apple rootstock-scion combinations (11 citations), presented at the prestigious XXIX International Horticultural Congress. This research explores how grafting influences root development, with applications for improving fruit tree productivity and resilience. While his citation counts are modest, Gregory’s interdisciplinary approach—applying computational methods to biological systems—demonstrates a unique versatility. His work is particularly valuable for students and researchers interested in the intersection of AI planning, robotics, and agricultural science.