CV Lattes
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Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Holds a doctorate in Mechanical Engineering (2020), a master's degree in Mechanical Engineering (2015), and a bachelors degree in Control and Automation Engineering (2012), all from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio). She was a visiting Ph.D. student at ETH Zurich for one year, working with motion planning and control for wheeled-legged robots. Her doctorate thesis was awarded the first place at the Concurso de Teses e Dissertações em Robótica (CTDR) 2020, from the Brazilian Computation Society (SBC). Since 2013, she works as a researcher at the Research Center on Inspection Technology (CPTI/PUC-Rio), working with research and development in the field of Non-Destructive Testing, Risers Inspection, Embedded Systems, and Control. She is currently a post-doctorate researcher at São Paulo University (USP), working with motion planning and control for quadrupedal robots in unstructured environments. She was also an assistant professor of Control Systems in the Electrical Engineering Department of PUC-Rio. She has experience in the field of Electronics, Modeling and Control of Dynamic Systems, Rigid Body Dynamics, and Mobile Robotics for Rough Terrain Applications. (Source: Lattes Curriculum)
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The research and development of legged robots have gained a lot of attention in recent years, due to the high mobility of these robots in terrain with obstacles, making them ideal for use in industrial, agricultural, and offshore environments. In these cases, it is important that the robot's locomotion system is robust to move under different conditions. In this context, this research pro…
A field of research that has received a lot of funding in the last few years is the development of mobile robots, autonomous or remotely operated, to perform tasks in unstructured terrain or in places either inaccessible or too dangerous for humans. These robotic platforms have the potential to make inspection and monitoring tasks in farms and industrial sites far more efficient, reducing…
The project goal is to develop a perceptive method to assess the terrain load-bearing limits for safe legged locomotion. Using torque and kinematic measurements from the robot's actuated joints, IMU data and visual feedback from onboard cameras, a traversability algorithm will assess the maximum force that can be applied to the terrain without risking collapse or tipover, and adjust the c…
| 2 / 2 | Completed scholarships in Brazil |
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