Aayam Shrestha
Papers
2
Total Citations
20
H-Index
2
About
Aayam Shrestha is a rising researcher in the field of robotics, with a focused expertise in humanoid locomotion and reinforcement learning (RL). His work critically addresses one of the most fundamental challenges in humanoid robotics: enabling robust standing and walking in real-world environments. Shrestha’s major contribution lies in systematically revisiting the design and evaluation of reward functions for sim-to-real RL-based controllers. By dissecting how different reward structures impact a humanoid’s ability to reject natural disturbances, his research provides a principled framework for developing more resilient and adaptive walking gaits. His most-cited paper (2024) has already garnered 18 citations, signaling its immediate relevance and impact within the robotics community. This work is notable for bridging the gap between simulation and reality, offering a rigorous evaluation methodology that helps researchers move beyond ad-hoc reward tuning. Through his detailed analysis, Shrestha is helping to lay the groundwork for the next generation of humanoid robots capable of navigating complex, unstructured environments, making his contributions essential reading for anyone interested in legged locomotion and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2