Papers

4

Total Citations

9

H-Index

2

About

Alessandro Di Biase is a robotics researcher focused on advancing human-robot collaboration, particularly in the challenging domain of handling deformable materials. His work centers on enabling safe and efficient co-transportation of flexible items like fabrics and cables, a critical task for modern manufacturing. Di Biase’s major contributions include developing near time-optimal trajectory planning that adheres to ISO safety standards for human-robot interaction, and creating deformation constraints to manage the unpredictable behavior of flexible materials during collaborative transport. He has also pioneered the integration of Large Language Models (LLMs) into collaborative robotics for automated disassembly of zipped apparel, supporting circular economy principles. With a growing citation impact—his 2025 paper on safe trajectories already garnering 4 citations—Di Biase is recognized for bridging safety standards with adaptive robotic control. His work on ROS 2 for enhancing perception in flexible tasks further underscores his commitment to creating self-adaptive robotic systems for dynamic industrial environments.

Research Focus

Key Achievements

2
H-Index
4
Papers
9
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Near Time-Optimal Trajectories with ISO Standard Constraints for Human–Robot Collaboration in Fabric Co-Transportation
4 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Polytechnic University of Bari, Marche Polytechnic University, Engineering (Italy)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago