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Resume (English only)
Academic Achievements
2025:
- Awarded a PhD in Biorobotics with distinction from the Biorobotics Institute, Scuola Superiore Sant’Anna.
- Paper 'AdapJ: An Adaptive Extended Jacobian Controller for Soft Manipulators' accepted to IEEE/ASME Transactions on Mechatronics (TMECH).
- Paper 'A Survey on Soft Robot Adaptability: Implementations, Applications, and Prospects' accepted to IEEE Robotics & Automation Magazine (RAM).
- Paper 'A Versatile Neural Network Configuration Space Planning and Control Strategy for Modular Soft Robot Arms' accepted to IEEE Transactions on Robotics (T-RO).
2024:
- Paper 'A Novel and Accurate BiLSTM Configuration Controller for Modular Soft Robots with Module Number Adaptability' accepted to Soft Robotics (SoRo).
- Paper 'Simulation of Optical Tactile Sensors Supporting Slip and Rotation using Path Tracing and IMPM' accepted to IEEE Robotics and Automation Letters (IEEE RA-L).
- Paper 'Data-driven Methods Applied to Soft Robot Modeling and Control: A Review' accepted to IEEE Transactions on Automation Science and Engineering (IEEE T-ASE).
2023:
- Paper 'A Hybrid Adaptive Controller for Soft Robot Interchangeability' accepted to IEEE Robotics and Automation Letters (IEEE RA-L).
- Paper 'Plasticine Manipulation Simulation with Optical Tactile Sensing' accepted to ICRA 2023 ViTac Workshop: Blending Virtual and Real Visuo-Tactile Perception.
- Paper 'Tacchi: A Pluggable and Low Computational Cost Elastomer Deformation Simulator for Optical Tactile Sensors' accepted to IEEE Robotics and Automation Letters (IEEE RA-L).
Research Experience
Exchange student at EPFL (Aug.-Oct., 2024). Research assistant at King’s College London and Tsinghua University (2021-2022). Before Ph.D., research focused on physical model-based tactile sensor simulation.
Education
Ph.D. from Scuola Superiore Sant'Anna (SSSA), supervised by Prof. Cesare Stefanini and Prof. Arianna Menciassi.
Background
Research interests: Data-driven control strategies for soft robotics. Field: Neural networks and soft robot control.