R.A. Hilhorst

Papers

Total Citations

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About

R.A. Hilhorst’s research lies at the intersection of intelligent control systems and robotic dexterous manipulation, with a focus on adaptive strategies for complex, real-world tasks. His most influential work, “A supervisor for control of mode-switch processes” (1994), has garnered 35 citations and addresses a critical challenge in automation: managing systems that transition between distinct operational modes. This supervisory control framework enables robust performance in dynamic environments, laying groundwork for modern adaptive industrial processes. Hilhorst’s earlier contribution, “Intelligent Adaptive Control of Mode-Switch Processes” (1991, 8 citations), further explored this theme, integrating learning mechanisms to handle uncertainty. In robotics, his paper “Dexterous manipulation of objects with unknown parameters by robot hands” (2002, 9 citations) stands out for its human-inspired approach: it models how robots can use visual, tactile, and force sensors to learn an object’s shape and mass during a brief learning phase, then execute precise movements. This work bridges perception and control, offering a pathway toward more autonomous and adaptable robotic hands. Though his citation counts are modest, Hilhorst’s contributions to mode-switch control and sensor-driven manipulation have influenced both theoretical advances and practical implementations in automation and robotics.