Papers
18
Total Citations
374
H-Index
9
About
Peter Kinnell is a leading researcher at the intersection of industrial robotics, human-robot interaction, and advanced manufacturing. His work primarily focuses on breaking down the barriers that prevent small and medium-sized enterprises from adopting robotic automation, with a particular emphasis on flexibility, usability, and safety. Kinnell’s most influential paper, "Towards industrial robots as a service (IRaaS)," has garnered 119 citations and proposes a transformative business model to democratize robotics for SMEs. He has made significant contributions to robotic perception and metrology, including robust hand-eye calibration for 2D laser sensors (72 citations) and autonomous inspection strategies for detecting sub-millimeter surface abnormalities on large, complex parts. A notable achievement is his pioneering work on trust in human-robot collaboration, where he introduced the concept of robot apology as a post-accident trust-recovery control strategy (46 citations). Kinnell also leverages virtual reality to study human adaptability and emotional well-being in shared workspaces, addressing the psychological dimensions of industrial collaboration. His diverse portfolio extends to additive manufacturing, where he has explored milling cement-based 3D-printable materials and high-precision self-alignment using liquid surface tension. With a career spanning over a decade, Kinnell’s research is instrumental in shaping safer, more accessible, and human-centric industrial automation.
Research Focus
Key Achievements
Top Papers
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- 6Autonomous metrology for robot mounted 3D vision systems20 citations · 2017
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