Ravi Prakash Tewari
Papers
7
Total Citations
54
H-Index
4
About
Ravi Prakash Tewari’s research lies at the intersection of biomechanics, robotics, and rehabilitation engineering, with a focus on developing intelligent assistive devices for human mobility. His work centers on understanding the complex, rhythmic coordination of human gait—how muscles, nerves, and joints work together—and translating that knowledge into robotic exoskeletons, prosthetic legs, and bipedal walking robots. A key contribution is his pioneering use of quintic polynomial and cubic spline trajectories to plan smooth, human-like walking for biped robots, a foundational approach that has influenced subsequent gait synthesis. He has also explored hybrid control strategies for robotic leg prostheses, combining artificial gait synthesis with dynamic modeling to improve stability and natural movement. More recently, Tewari has investigated dielectric elastomer actuators as soft, muscle-like materials for prosthetic and orthotic applications, opening new avenues for compliant, bio-inspired devices. His most cited work, on EMG analysis for exoskeleton development (21 citations), demonstrates his commitment to linking physiological signals with robotic control. Through these contributions, Tewari has advanced the design of more natural, responsive lower-limb assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Quintic polynomial trajectory of biped robot for human-like walking11 citations · 2014
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- 5
- 6An optimal control of bio-robotic leg for human-like walking2 citations · 2010
- 7Artificial neural network controllers for biped robot2 citations · 2012