- Biomimetic flight and propulsion mechanisms
- Underwater Vehicles and Communication Systems
- Robotic Locomotion and Control
- Insect Pest Control Strategies
- Mosquito-borne diseases and control
- Nematode management and characterization studies
- Forensic Entomology and Diptera Studies
- Fuel Cells and Related Materials
- Transport and Logistics Innovations
- Primate Behavior and Ecology
- High voltage insulation and dielectric phenomena
- Vehicle Dynamics and Control Systems
- Insect and Pesticide Research
- Advanced Manufacturing and Logistics Optimization
- Vector-Borne Animal Diseases
- Advanced Materials and Mechanics
- Water Quality Monitoring Technologies
- Viral Infections and Vectors
- Advanced Battery Technologies Research
- Insect behavior and control techniques
- Yersinia bacterium, plague, ectoparasites research
- Entomopathogenic Microorganisms in Pest Control
- Micro and Nano Robotics
- Structural Analysis and Optimization
- Wildlife Ecology and Conservation
Scuola Superiore Sant'Anna
2023-2025
Center for Micro-BioRobotics
2024-2025
Piaggio (Italy)
2023-2024
Piaggio Aerospace (Italy)
2023
Abstract Bioinspired underwater robots can move efficiently, with agility, even in complex aquatic areas, reducing marine ecosystem disturbance during exploration and inspection. These improve animal farming conditions preserve wildlife. This study proposes a muscle-like control for an underactuated robot carangiform swimming mode. The artifact exploits single DC motor non-blocking transmission system to convert the motor’s oscillatory motion into fishtail’s oscillation. combines magnetic...
Pesticide exposure, even at low doses, can have detrimental effects on ecosystems. This study aimed validating the use of machine learning for recognizing motor anomalies, produced by minimal insecticide exposure a model insect species. The Mediterranean fruit fly, Ceratitis capitata (Diptera: Tephritidae), was exposed to food contaminated with concentrations Carlina acaulis essential oil (EO). A deep approach enabled fly pose estimation video recordings in custom-built arena. Five...
Scombrid fishes and tuna are efficient swimmers capable of maximizing performance to escape predators save energy during long journeys. A key aspect in achieving these goals is the flexibility tail, which fish optimizes swimming. Though, robotic counterparts, although highly efficient, have partially investigated importance flexibility. We designed tested a fish-like platform (of 30 cm length) quantify with tail made flexible through torsional spring placed at peduncle. Body kinematics,...
Entomopathogenic nematodes (EPNs) are effective biocontrol agents, reducing pesticide impact on health and the environment. Understanding their physiology ethology is crucial for optimizing application. This study offers innovative insights about Steinernema carpocapsae EPN behavior, contributing to interdisciplinary field of engineering, biology, entomology. The proposed hybrid approach combines microfluidics, deep learning, optical flow. A Convolutional Neural Network (CNN) model discerned...
Aquaculture applications are increasingly utilizing precision techniques such as computer vision technologies to perform a variety of inspection tasks. This work presents the development three activities essential for creation biomimetic robotic platform with onboard intelligence and autonomous task execution capabilities. The proposed robot is inspired by carangiform movement achieves various trajectories through magnetic actuation system single motor propulsion. Fluid dynamics studies can...
Pesticides are still abused in modern agriculture. The effects of their exposure to even sub-lethal doses can be detrimental ecosystem stability and human health. This work aims validate the use machine learning techniques for recognizing motor abnormalities assess any effect post-exposure a minimal dosage these substances on model organism, gaining insights into potential risks test subject was Mediterranean fruit fly, Ceratitis capitata (Wiedemann) (Diptera: Tephritidae), exposed food...
Biomimetic robotics can help support underwater exploration and monitoring while minimizing ecosystem distur-bance. It also has potential applications in sustainable aqua-farming management, biodiversity preservation, animal-robot interaction studies. This study proposes a bio-inspired control strategy for an underactuated robotic fish, which utilizes single DC motor to drive mechanism that converts the motor's oscillating motion into oscillatory of fishtail through magnetic coupling...
Adapting physics-based models for digital twin frameworks, estimation and control of Lithium ion batteries requires a significant reduction the computational complexity electrochemical without sacrificing accuracy. In this study, we propose model order technique Doyle-Fuller-Newman battery cell that integrates Proper Orthogonal Decomposition with an optimized orthogonal collocation method. Simulation results indicate reduced-order is faster than full-order model, reducing computation time by...