About

K. Khodabandehloo is a pioneering robotics researcher whose career has been defined by the application of advanced automation to challenging real-world industrial problems, most notably in food processing and manufacturing. Based at the University of Bristol's Advanced Manufacturing and Automation Research Centre (AMARC), he made landmark contributions to robotic meat processing, developing some of the earliest systems capable of beef forequarter deboning using force feedback control and continuous path planning — work that began in the late 1980s through AFRC-funded collaboration with the Institute of Food Research. His research extended across the full breadth of food automation, encompassing robotic butchery, evisceration, and fish processing using computer vision, establishing him as a foundational figure in this niche but practically significant field. Beyond food systems, Khodabandehloo contributed meaningfully to flexible manufacturing, including modelling and automating the handling of composite prepreg sheet materials. His safety-focused work on fault and event tree analyses for robot systems remains his most cited contribution, with 41 citations, reflecting its enduring methodological value. With publications spanning over three decades — culminating in a 2022 paper on robotic meat cutting — his body of work, totalling over 175 citations, demonstrates both longevity and sustained relevance in industrial robotics.

Research Focus

Key Achievements

8
H-Index
22
Papers
217
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Analyses of robot systems using fault and event trees: case studies
41 citations · 1996
📈 Most Prolific Year: 1993 (5 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Bristol, Georgia Institute of Technology, Institut Mihajlo Pupin, Imperial College London, At Bristol, Queen's University

Top Papers

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    Achieving robotic meat cutting
    22 citations · 2022
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    Robots for the meat industry
    11 citations · 1995
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Key Collaborators

Contact & Links

Available for collaboration
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