Tommaso Colombino

Papers

4

Total Citations

34

H-Index

3

About

Tommaso Colombino is a robotics researcher focused on the nuanced intersection of human-robot interaction, social navigation, and inclusive design. His work primarily investigates how robots can behave in socially acceptable ways within shared human environments, particularly in constrained spaces like elevators. Colombino’s major contributions include pioneering studies on the trade-offs between human-like and machine-like robot behaviors, demonstrating through in-person wizard-of-oz experiments that combining these behavioral modes can improve bystander acceptance during routine tasks like office delivery. His 2023 paper on this topic has garnered 14 citations, while his 2022 exploration of machine-like behaviors for elevator navigation has received 13 citations, reflecting growing interest in his practical, observation-driven approach. Colombino has also developed a decision support framework for selecting robotic interfaces, addressing the complexities of physical embodiment in design. Notably, his 2021 work on the ethical design of robot platforms for disabled employees highlights his commitment to inclusive technology, outlining methodological considerations to mitigate unintended consequences of AI and automation in workplace settings. Through these contributions, Colombino is shaping how robots can navigate social spaces with both efficiency and sensitivity.

Research Focus

Key Achievements

3
H-Index
4
Papers
34
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Investigating the Integration of Human-Like and Machine-Like Robot Behaviors in a Shared Elevator Scenario
14 citations · 2023
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 12

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago