Papers
15
Total Citations
99
H-Index
5
About
Giulio Milighetti is a robotics researcher whose work centers on humanoid robot control, autonomous behavior architectures, and sensorimotor integration. His most significant contributions lie in developing hierarchical supervisory control frameworks that bridge discrete planning and continuous motor execution — a challenge central to deploying robots in dynamic, real-world environments. His 2005 paper on primitive skill-based supervisory control (17 citations) laid foundational groundwork for structuring complex robot behaviors, while his series of papers on discrete-continuous control extended this into multi-sensor and fuzzy decision-making domains. Milighetti's most-cited work (22 citations) tackles adaptive predictive gaze control for redundant humanoid robot heads, employing Kalman filtering to anticipate target motion — a technically sophisticated contribution to robot perception. He has also explored biologically inspired approaches, notably transferring human-like reflex behaviors to robots using leaky integrate-and-fire neuron models, reflecting a broader interest in bridging neuroscience and robotics. His combined audio-visual grasping research further demonstrates a commitment to multimodal sensing for robust manipulation. With contributions spanning industrial surface finishing to human-interactive robot control, Milighetti's body of work represents a sustained effort to make humanoid robots more adaptive, perceptive, and practically capable across diverse environments.
Research Focus
Key Achievements
Top Papers
- 1Adaptive predictive gaze control of a redundant humanoid robot head22 citations · 2011
- 2On a primitive skill-based supervisory robot control architecture17 citations · 2005
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- 4On the Discrete-Continuous Control of Basic Skills for Humanoid Robots8 citations · 2006
- 5MULTI-SENSOR CONTROLLED SKILLS FOR HUMANOID ROBOTS5 citations · 2006
- 6Combined Visual-Acoustic Grasping for Humanoid Robots5 citations · 2006
- 7Adaptive predictive gaze control of a redundant humanoid robot head4 citations · 2011
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