Sumeet S. Aphale
Papers
7
Total Citations
27
H-Index
3
About
Sumeet S. Aphale is a robotics and control systems researcher whose work spans advanced control methodologies for a diverse range of robotic platforms, including mobile robots, exoskeletons, and soft robotic actuators. His research is characterized by a strong focus on addressing the fundamental challenges of nonlinearity, uncertainty, and instability in complex dynamic systems. Aphale has made notable contributions to sliding mode control, demonstrating expertise in designing robust, high-precision controllers for inherently difficult systems such as Dielectric Elastomer Actuators and knee exoskeleton robots — work that has already attracted early citations upon publication in 2025. His investigations into two-wheeled self-balancing robots, including genetic algorithm-based and switching control strategies, highlight his interest in intelligent and adaptive control frameworks for statically unstable systems. Aphale has also advanced the modeling of soft pneumatic actuators and explored machine learning approaches, including LSTM neural networks, for soft robot control. With a growing citation record across multiple emerging research fronts, his work positions him as a versatile contributor to the fields of smart robotics, rehabilitation engineering, and next-generation actuator technologies.
Research Focus
Key Achievements
Top Papers
- 1Genetic Algorithm-based Control of a Two-Wheeled Self-Balancing Robot8 citations · 2025
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- 5Switching Control in Two-Wheeled Self-Balancing Robots3 citations · 2021
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- 7Control of a Soft Actuator using a Long Short-Term Memory Neural Network2 citations · 2022