Aayam Shrestha

Aayam Shrestha is an Assistant Professor at Oregon State University, affiliated with the College of Engineering and the Department of Electrical Engineering and Computer Science. His research focuses on robotics, artificial intelligence, and control systems, particularly in humanoid motion planning, decentralized control, and reinforcement learning.

His recent work explores non-parametric abstractions of Markov decision processes, multi-modal whole-body control for humanoid robots, and reward design for robust locomotion. These publications highlight interdisciplinary approaches combining machine learning, control theory, and robotics applications.

Selected publications (2020–2024) demonstrate expertise in human motion generation, multi-agent systems, and algorithm generalizability. Key themes include autonomous control, physics-based simulation, and optimization for real-world robotics.