Rudra P. K. Poudel
Papers
1
Total Citations
40
H-Index
1
About
Rudra P. K. Poudel is a leading researcher in embodied AI, computer vision, and deep reinforcement learning, with a focus on enabling intelligent agents to navigate and interact with real-world environments. His most cited work, "Embodied Visual Navigation With Automatic Curriculum Learning in Real Environments" (2021, 40 citations), introduces NavACL, a groundbreaking method that uses geometric features to automatically select relevant training tasks, dramatically improving the efficiency and performance of navigation agents. This work demonstrates that deep reinforcement learning agents trained with NavACL significantly outperform prior state-of-the-art approaches, marking a major step toward practical, real-world deployment of autonomous robots. Poudel's contributions lie at the intersection of curriculum learning and visual navigation, addressing the critical challenge of sim-to-real transfer. His research has been widely recognized for its practical impact, influencing subsequent work in embodied AI and robotics. Through innovative algorithms that bridge simulation and reality, Poudel continues to push the boundaries of how machines perceive, learn, and move through complex environments.
Research Focus
Key Achievements
Top Papers
- 1