Marina Y. Aoyama
Papers
3
Total Citations
14
H-Index
2
About
Marina Y. Aoyama is a rising star in robotics, specializing in long-horizon manipulation, haptic learning, and tool-use skill transfer. Her work addresses a fundamental challenge: enabling robots to perform complex, contact-rich tasks in human environments with minimal data. In her highly cited 2023 paper, she proposed a structured motion generation framework using predictive learning to break down long-horizon tasks into sequential subgoals, a key strategy for applications like tidying or meal preparation. Aoyama has also pioneered few-shot learning approaches for force-based motions, demonstrating that robots can generalize manipulation skills to unseen objects by pre-training haptic representations—work that has garnered significant attention. Most recently, in 2025, she tackled the intricate problem of tool-use transfer, leveraging human demonstrations with proximity and tactile sensing to handle the dual-contact dynamics between robot, tool, and environment. With over 14 citations across her core publications, Aoyama’s research is shaping the future of adaptive, sensor-driven robotics, making her a notable contributor to the field of intelligent manipulation.
Research Focus
Key Achievements
Top Papers
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