Papers
7
Total Citations
74
H-Index
5
About
T. Ganesan is a researcher at the forefront of rehabilitation robotics and human-robot interaction, with a focus on developing intelligent assistive technologies for stroke patients and individuals with motor impairments. His work bridges the gap between conventional physiotherapy and advanced robotic systems, integrating virtual reality, surface electromyography (sEMG), and swarm intelligence algorithms to create more engaging and effective rehabilitation tools. Ganesan’s most cited paper, “A virtual reality based serious games for rehabilitation of arm” (21 citations), addresses the critical issue of patient motivation by gamifying repetitive arm exercises, a common downfall of traditional therapy. He further advanced the field by developing joint torque estimation models using sEMG signals and swarm intelligence (17 citations), enabling robotic assistive devices to adapt to a user’s muscle effort rather than relying on pre-programmed commands. His contributions extend to designing upper arm exoskeletons with fuzzy logic control and a laboratory-scale pipeline inspection robot using LEGO Mindstorms (17 citations), showcasing his versatility in both medical and industrial robotics. Ganesan’s work has garnered over 70 citations, reflecting its impact on making rehabilitation more personalized, engaging, and accessible.
Research Focus
Key Achievements
Top Papers
- 1A virtual reality based serious games for rehabilitation of arm21 citations · 2017
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- 3Development of a Laboratory-scale Pipeline Inspection Robot17 citations · 2015
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- 7Fuzzy Logic Based Navigation Safety System for a Remote Controlled Orthopaedic Robot (OTOROB)2 citations · 2011