Amritanshu Manu
Papers
1
Total Citations
2
H-Index
1
About
Amritanshu Manu is a robotics researcher whose work focuses on the locomotion and control of legged systems, particularly quadruped robots. His key contributions lie in developing hierarchical frameworks that decompose complex robotic movements into manageable motion templates, enabling more efficient and stable path tracking. In his most cited work, "Path Tracking Strategy for Quadruped Robots Using a Hierarchical Framework" (2022), Manu introduces a novel approach that combines continuous gaits with a Linear Inverted Pendulum Model (LIPM)-based algorithm to achieve precise translation and turning on flat, rigid terrain. This research addresses fundamental challenges in robotic mobility, offering a scalable solution for real-world applications like search-and-rescue or industrial inspection. With 2 citations, his work is gaining traction among peers exploring modular control strategies. Manu’s achievements reflect a deep commitment to advancing autonomous systems, making him a promising voice in the field of legged robotics.
Research Focus
Key Achievements
Top Papers
- 1