AmirHosein KhazeniFard
Papers
1
Total Citations
7
H-Index
1
About
AmirHosein KhazeniFard is a researcher whose work lies at the intersection of robotics, biomechanics, and energy-efficient locomotion. His primary research focus is on developing computational algorithms for bipedal robot gait planning, with a particular emphasis on minimizing energy consumption through optimized trajectory generation. His most cited work, "An energy efficient gait trajectory planning algorithm for a seven linked biped robot using movement elements" (2015), introduces a novel approach that decomposes each gait cycle into discrete phases, using "via points" as phase boundaries. By integrating six universal movement elements with kinematic constraints, the algorithm generates smoother, more natural, and significantly more energy-efficient walking patterns. This contribution has garnered 7 citations and is foundational for researchers working on humanoid robot locomotion and assistive exoskeletons. KhazeniFard’s work demonstrates a strong commitment to bridging theoretical motion planning with practical robotic applications, offering a systematic method that reduces mechanical energy loss during walking. His research is particularly valuable for students and engineers seeking to design legged robots that can operate longer and more efficiently in real-world environments.
Research Focus
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Top Papers
- 1