Paolo Maria Viceconte
Papers
4
Total Citations
84
H-Index
3
About
Paolo Maria Viceconte is a leading roboticist whose research focuses on enabling humanoid robots to move, interact, and be controlled with unprecedented fluidity and human-likeness. His core contributions span three transformative areas: immersive telepresence, human-like locomotion, and multimodal mobility. In his landmark 2024 work on the iCub3 avatar system (60 citations), Viceconte pioneered a framework for fully immersive, remote embodiment of humanoid robots, allowing operators to see, hear, and feel through the robot—a breakthrough for hazardous environment operations and assistive robotics. He further advanced whole-body control with ADHERENT (17 citations), introducing machine-learning methods to generate human-like walking trajectories that make robots appear more natural and intuitive. Viceconte’s innovative use of adversarial motion priors (2024) enables robots to seamlessly transition between walking and flying, unlocking new possibilities for multimodal locomotion. Most recently, his online DNN-driven nonlinear MPC (2024) achieves stylistic walking with real-time step adjustment, blending deep learning with model-based control. With over 80 total citations and a rapidly growing portfolio, Viceconte is shaping the future of humanoid robotics, making robots not just functional, but truly embodied and expressive.
Research Focus
Key Achievements
Top Papers
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- 3Learning to Walk and Fly with Adversarial Motion Priors5 citations · 2024
- 4