Alessio Artoni
Papers
4
Total Citations
114
H-Index
4
About
Alessio Artoni is a leading researcher in robotic manipulation and human-robot interaction, with a focus on enhancing the synergy between human operators and autonomous systems. His key research areas include haptic shared control, trajectory optimization, and environment-aware motion planning. Artoni’s most cited work, "Caring About the Human Operator: Haptic Shared Control for Enhanced User Comfort in Robotic Telemanipulation" (59 citations), introduces a novel framework where haptic active constraints allow a human and an autonomous controller to collaboratively guide a robotic manipulator, minimizing operator torque and improving comfort during teleoperation. This contribution has significant implications for assistive robotics and industrial applications. He also developed a two-stage trajectory optimization strategy for articulated bodies with unscheduled contact sequences (26 citations), which enhances robustness and efficiency in humanoid robot motion planning. Additionally, his computational framework for environment-aware manipulation planning (17 citations) and parametric trajectory libraries for soft robots (12 citations) demonstrate his versatility in addressing complex, real-world robotic challenges. Artoni’s work is widely cited for its practical impact on improving human-robot collaboration and autonomous navigation in dynamic environments.
Research Focus
Key Achievements
Top Papers
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