Marcel Heisler

Papers

Total Citations

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About

Marcel Heisler is a leading researcher in the field of human-robot interaction, with a specific focus on making android robots more expressive, engaging, and personalized. His work primarily centers on facial animation and speech-driven behavior for humanoid robotic heads. Heisler’s major contributions include pioneering machine learning-based approaches to animate android heads in real-time from audio input, bridging the gap between computer graphics animation and physical robotics. His most-cited work (2023, 6 citations) introduces both viseme-based and mesh-based methods for synchronizing a robot’s facial movements with speech, offering a practical framework for creating more lifelike and responsive robotic faces. In a notable 2025 study (2 citations), Heisler explored the impact of voice personalization on robot likability, demonstrating that cloning a user’s voice onto a gender-ambiguous android significantly enhances user perception and acceptance. His 2024 paper (2 citations) further advances the field by applying automated learning techniques to control facial expressions on a robot head, reducing the need for manual animation. Through these contributions, Heisler is shaping the future of socially intelligent robotics, making human-robot communication more natural and intuitive.