Benedikte Wallace

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About

Benedikte Wallace is a researcher working at the intersection of artificial intelligence, embodied motion, and human-robot interaction, with a particular focus on expressive movement and dance. Her work explores how AI systems and robots can learn and replicate the nuanced, tacit relationships between sound and motion that humans navigate intuitively — a challenge that sits at the frontier of both technical and artistic inquiry. Wallace's most cited work, "Learning Embodied Sound-Motion Mappings: Evaluating AI-Generated Dance Improvisation" (2021, 12 citations), investigates the capacity of AI to model emotional expression through dance, addressing the growing need for virtual agents and robots to communicate intent convincingly. Building on this foundation, her 2024 study on expressive robot motion examines how human observers perceive and interpret movement translated from humans to robotic systems, drawing on empirical participant research to ground her findings. Her recent survey (2025) synthesizes advances across robotics, AI, and human-robot interaction to chart future directions for responsive, expressive robot dance. Through this body of work, Wallace is carving out important space in understanding how machines can move meaningfully — a contribution with broad implications for robotics design, emotional AI, and human-machine relationships.