Teresa Sinico
Papers
9
Total Citations
54
H-Index
4
About
Teresa Sinico is a robotics researcher whose work bridges the gap between industrial automation and intelligent, human-aware systems. Her primary research areas include digital twin modeling, robot calibration, human-robot collaboration, and sustainable automation. She is perhaps best known for her highly cited 2024 paper on designing digital twins of robots using Simscape Multibody (22 citations), which addresses the critical challenge of creating accurate dynamic models for evaluating manipulator behavior under various control strategies. Sinico has also made significant contributions to improving robotic bin-picking through human-robot collaboration, demonstrating how human intervention can boost success rates in tasks where fully autonomous systems fall short. Her work on kinematic calibration using a single draw-wire encoder (8 citations) offers a practical, step-by-step methodology for enhancing robot positioning accuracy—a key factor in high-precision manufacturing. More recently, she has explored real-time cognitive feedback in collaborative workplaces and AI-based robotic waste sorting, reflecting a growing commitment to sustainability. With a portfolio spanning modeling, control, and human factors, Sinico is shaping the future of smarter, more adaptable robotic systems for industry.
Research Focus
Key Achievements
Top Papers
- 1Designing Digital Twins of Robots Using Simscape Multibody22 citations · 2024
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- 8Performance Comparison of Two Architectures of 6R Articulated Robots2 citations · 2023
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