Papers
11
Total Citations
133
H-Index
7
About
Graham Deacon is a researcher whose career spans over three decades at the intersection of robotics, automation, and intelligent systems. His work has consistently focused on advancing robotic manipulation — from early explorations of knowledge-based assembly in the late 1980s to cutting-edge benchmarking frameworks for modern industrial pick-and-place systems. In the 1980s and early 1990s, Deacon was a pioneer in applying artificial intelligence to robotic assembly, developing knowledge bases that captured real shopfloor expertise to improve productivity and flexibility in automated cells. His subsequent work on sensor-driven strategies for flexible assembly and planar object orientation further cemented his grounding in practical manipulation challenges. In more recent years, Deacon has made significant contributions to the rigorous evaluation of robotic systems, developing standardized benchmarking frameworks for soft end effectors and pick-and-place operations in industrial grocery settings — work that has attracted over 40 and 17 citations respectively. His evaluation of the ARMAR-6 industrial robotic assistant in real ecological environments demonstrates a broader interest in human-robot interaction. His 2021 methodology for integrating complex robotic systems reflects a continued commitment to bridging research and industry. Across his career, Deacon's work has meaningfully shaped how robotic systems are designed, assessed, and deployed in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Evaluation of an Industrial Robotic Assistant in an Ecological Environment15 citations · 2019
- 4
- 5A strategy for sensors and rules in flexible robotic assembly11 citations · 1991
- 6Knowledge-based robotic assembly - a step further towards flexibility9 citations · 1987
- 7Knowledge-based robotic assembly—a step further towards flexibility8 citations · 1987
- 8
- 9A Catastrophe Theory Model of Planar Orientation5 citations · 2000
- 10Orienting objects in a minimum number of Robot sweeping motions4 citations · 1993