Angelica Nakayama

National Institute of Information and Communications Technology, Universidad Nacional Autónoma de México

Papers

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About

Angelica Nakayama’s research lies at the intersection of robotic manipulation, simulation, and human-robot interaction, with a focus on enabling domestic service robots to operate safely and intuitively in cluttered, real-world environments. Her major contributions include developing predictive models for collision-risk assessment during object placement—a fundamental yet challenging task for robots navigating everyday spaces. Her most-cited work, “Predicting and attending to damaging collisions for placing everyday objects in photo-realistic simulations” (2021, 9 citations), introduces a method to infer potential damage before a placing motion, enhancing robot autonomy in domestic settings. Additionally, her work on “Teleoperated Service Robot with an Immersive Mixed Reality Interface” (2021, 4 citations) advances remote operation by integrating mixed reality to improve operator communication and task precision. These contributions highlight her ability to bridge simulation fidelity with practical robot deployment, addressing critical safety and usability gaps. Nakayama’s research is particularly notable for its application-driven approach, directly tackling the challenges of cluttered environments and human oversight. Her achievements position her as a rising voice in service robotics, with implications for assistive technologies and autonomous home systems.