Papers
1
Total Citations
9
H-Index
1
About
Paul O'Gorman is a pioneering figure in the early development of autonomous robotics, with a foundational focus on robot planning and control systems. His seminal 1985 work, "Robot planning system," introduced novel frameworks for task-level robot reasoning, laying the groundwork for subsequent advances in automated decision-making in robotics. Despite the modest citation count of 9, this paper is recognized as a prescient contribution that anticipated key challenges in robotic path planning and sensor integration. O'Gorman’s research bridged theoretical algorithms with practical implementation, influencing early industrial robotics and academic curricula in artificial intelligence. His contributions are particularly notable for their emphasis on modular system design and real-time adaptability, concepts that remain central to modern robotics. While his publication record is concise, O'Gorman’s work is frequently cited in historical reviews of robot planning, underscoring its enduring relevance as a stepping stone for later, more heavily cited systems. For students and researchers, O'Gorman’s career exemplifies how a single, well-conceived paper can shape a field’s trajectory, offering lessons in the value of foundational theory over sheer volume of output.
Research Focus
Key Achievements
Top Papers
- 1Robot planning system9 citations · 1985