Prajwal Rajendra Mahendrakar
Papers
1
Total Citations
4
H-Index
1
About
Prajwal Rajendra Mahendrakar is a robotics researcher whose work centers on humanoid robot locomotion, inverse kinematics, and gait generation for small-scale platforms. His primary contribution lies in developing geometric methods to solve inverse kinematics, enabling stable and adaptable walking patterns in humanoid robots without requiring specialized environments. His most cited paper, "Solving Inverse Kinematics using Geometric Analysis for Gait Generation in Small-Sized Humanoid Robots" (2020), introduces a 3D linear inverted pendulum model approach to generate stable gaits, a foundational step toward domestic automation. With 4 citations, this work has influenced subsequent studies in humanoid robotics and control. Mahendrakar’s research addresses a critical challenge in robotics: making humanoid platforms practical for real-world, unstructured settings. His geometric analysis approach offers a computationally efficient alternative to numerical methods, advancing the field of bipedal locomotion. By focusing on small-sized humanoids, he targets cost-effective, accessible platforms for automation. His work is particularly relevant for students and researchers interested in the intersection of kinematics, control theory, and practical robotics, providing a clear, analytical framework for gait generation that balances stability and adaptability.
Research Focus
Key Achievements
Top Papers
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