Charles Jankowski

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About

Charles Jankowski is a researcher at the forefront of human-robot interaction, specializing in the development of robust, real-world robotic systems. His work centers on two key areas: creating intelligent frameworks for human-robot collaboration and enhancing the perceptual capabilities of social robots operating in challenging public environments. Jankowski’s foundational contribution, "Human-Augmented Robotic Intelligence (HARI) for Human-Robot Interaction" (2019), proposes a novel architecture that integrates human feedback directly into robotic decision-making, a concept that has garnered 4 citations and laid the groundwork for more adaptive and trustworthy autonomous systems. His most impactful work addresses a critical bottleneck in social robotics: automatic speech recognition (ASR) in noisy public spaces. In "Improved Robust ASR for Social Robots in Public Spaces" (2020, 3 citations), Jankowski tackles the degradation of ASR models in low signal-to-noise ratios (5-20 dB), exploring advanced signal processing and model adaptation techniques. This research is vital for enabling robots to understand commands in crowded, acoustically challenging settings like malls or hospitals. Jankowski’s contributions are essential for moving social robots from controlled labs into the dynamic, noisy world of everyday human life.