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About

Manabu Tsukada is a leading researcher at the intersection of autonomous systems, human-robot interaction, and digital infrastructure. His work spans three core areas: socially-aware autonomous vehicles, human-machine interfaces (HMI), and Building Information Modeling (BIM) for digital twins. Tsukada’s most influential paper, “Building a speech recognition system with privacy identification information based on Google Voice for social robots” (2022, 12 citations), addresses the critical challenge of privacy-preserving voice interaction in social robotics. He has made significant contributions to autonomous racing with “RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning” (2024, 5 citations), developing novel planning algorithms for safe multi-agent interaction. Tsukada’s work on external HMIs (eHMIs) is particularly innovative: he designed a shrinkable arm-based eHMI for autonomous delivery vehicles (2024, 4 citations) to improve communication with pedestrians, and a “Text + Eye” eHMI for autonomous taxis (2024, 2 citations) that uses gaze direction to convey geospatial instructions to passengers. His research on web-based BIM platforms for building digital twins (2023, 6 citations) demonstrates his commitment to integrating autonomous systems with smart infrastructure. Tsukada’s work is characterized by its practical focus on real-world deployment challenges, from privacy in social robotics to safe multi-agent racing and intuitive human-vehicle communication.