Thiago Alves

Universidade Federal de Uberlândia

Papers

6

Total Citations

63

H-Index

4

About

Thiago Alves is a leading researcher at the intersection of robotics and neurorehabilitation, specializing in cable-driven robotic systems for post-stroke recovery. His work focuses on developing safe, lightweight, and adaptable robotic platforms that leverage the unique advantages of cable-driven mechanisms—such as large workspaces and inherent safety—to deliver effective bimanual rehabilitation. Alves’s most significant contribution is his 2022 randomized controlled trial (27 citations), which demonstrated that serious games integrated with cable-driven robots significantly improve motor outcomes in post-stroke patients. He also pioneered an assist-as-needed control strategy (2019, 11 citations) that adapts robotic support to each patient’s real-time performance, promoting active participation and neuroplasticity. His 2021 study (10 citations) introduced a quantitative method for tracking patient progress using a novel bimanual cable-driven robot, providing clinicians with objective metrics. Alves has also authored a key book chapter (2019, 10 citations) that synthesizes the field’s potential. With over 60 total citations and a growing portfolio of serious games and rehabilitation strategies, Alves is shaping the future of accessible, engaging, and data-driven robotic therapy for stroke survivors.

Research Focus

Key Achievements

4
H-Index
6
Papers
63
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Serious Games Strategies With Cable-Driven Robots for Bimanual Rehabilitation: A Randomized Controlled Trial With Post-Stroke Patients
27 citations · 2022
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Universidade Federal de Uberlândia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago