I. Halleron

Papers

Total Citations

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About

I. Halleron’s research centers on robotic assembly and sensor-based error recovery, with a particular focus on dynamic error frameworks. Their most cited work, “The application of a dynamic error framework to robotic assembly” (2002, 9 citations), extends the foundational dynamic error recovery vector framework originally developed by P.M. Taylor and G.E. Taylor. Halleron introduces and defines operators for upper-bound, lower-bound, and best-guess estimates for sensor signals, given a priori knowledge. This contribution provides a more rigorous and practical approach to handling uncertainty in robotic manipulation tasks. While Halleron’s citation count is modest, their work represents a targeted, technically precise advancement in error modeling for assembly automation, offering valuable tools for researchers and engineers working on sensor integration and fault-tolerant robotic systems. This paper remains a reference point for those seeking to apply probabilistic or bounded-error reasoning to real-time robotic control.