Salviano Soares
Papers
15
Total Citations
79
H-Index
6
About
Salvatore Soares is a dynamic researcher whose work sits at the intersection of robotics, human-robot collaboration, and educational technology. Based primarily within the Portuguese research ecosystem and supported by the Foundation for Science and Technology (FCT), Soares has built a diverse portfolio spanning rehabilitation robotics, autonomous ground vehicles, and STEM education innovation. Among his most notable contributions is his work on educational robotics, where his Arduino-based framework pairing physical robots with eBooks demonstrated measurable gains in computational thinking among elementary school students across Europe, earning 14 citations since 2024. His rehabilitation robotics architecture, exploring distributed data acquisition systems for patient-therapist workflows, has attracted significant attention with 10 citations, reflecting growing interest in clinical robotics standardisation. Soares has also made meaningful strides in human-robot collaboration, developing fuzzy logic and LSTM-based approaches to handle real-world behavioural uncertainty in hazardous environments like agriculture and construction. His involvement in the AI4Work project further demonstrates his commitment to human-centric AI and digital twin technologies in healthcare and education workplaces. With a career spanning foundational contest robotics to cutting-edge autonomous navigation and activity recognition, Soares represents a versatile and impactful voice in applied robotics research.
Research Focus
Key Achievements
Top Papers
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- 5Evaluation of PID-Based Algorithms for UGVs6 citations · 2025
- 6Usability Evaluation of an Educational Robot for STEM Areas6 citations · 2019
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- 8Learning Computer Vision using a Humanoid Robot5 citations · 2019
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- 10ARDUINO RECURSIVE BACKTRACKING IMPLEMENTATION, FOR A ROBOTIC CONTEST4 citations · 2017