M. A. Paparisabet
Papers
1
Total Citations
20
H-Index
1
About
M. A. Paparisabet is a robotics researcher whose work centers on the biomechanics and control of bipedal locomotion, with a particular focus on generating human-like walking patterns for legged robots. His most-cited paper, "Knee and torso kinematics in generation of optimum gait pattern based on human-like motion for a seven-link biped robot" (2019), has garnered 20 citations, establishing him as a contributor to the intersection of human motion analysis and robotic design. In this work, Paparisabet explores how knee and torso kinematics can be optimized to produce stable, efficient, and natural gait patterns, drawing on principles of human biomechanics to inform robotic control strategies. His research addresses fundamental challenges in bipedal robotics, such as balance, energy efficiency, and motion smoothness, with potential applications in assistive devices and humanoid robots. By bridging the gap between human movement science and robotic engineering, Paparisabet’s contributions offer valuable insights for developing more agile and adaptive walking machines, making his work a useful reference for students and researchers interested in bio-inspired robotics and gait optimization.
Research Focus
Key Achievements
Top Papers
- 1