Ilaria Pellicani
Papers
2
Total Citations
5
H-Index
1
About
Ilaria Pellicani is a rising leader in collaborative robotics, with a research focus on human–robot interaction, intelligent manufacturing, and sustainable automation. Her work tackles the critical challenge of enabling robots to work safely and efficiently alongside humans in shared environments. In her highly cited 2025 paper on “Near Time-Optimal Trajectories with ISO Standard Constraints for Human–Robot Collaboration in Fabric Co-Transportation,” she developed novel trajectory planning strategies that adhere to international safety standards while optimizing movement speed—a breakthrough for applications like textile handling. Pellicani also pioneers the integration of Large Language Models (LLMs) into robotics, as demonstrated in her work on “Integrating LLMs into Collaborative Robotics for Automated Zipped Apparel Disassembly.” This research advances circular economy goals by making automated disassembly economically viable, using AI to guide robots in complex, unstructured tasks. Her contributions are already shaping the future of human-centric automation, with her papers garnering early citations that signal growing influence. Pellicani’s work stands at the intersection of safety, AI, and sustainability, offering practical solutions for next-generation manufacturing and collaborative systems.
Research Focus
Key Achievements
Top Papers
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