I Made Aswin Nahrendra
Papers
5
Total Citations
155
H-Index
4
About
I Made Aswin Nahrendra is a robotics researcher whose work centers on autonomous navigation, quadrupedal locomotion, and drone control in unstructured environments. His most impactful contribution is **DreamWaQ** (2023, 122 citations), a deep reinforcement learning framework that enables quadrupedal robots to robustly traverse complex terrains by implicitly imagining terrain properties—a breakthrough that bridges the gap between simulation and real-world deployment. He also developed **Retro-RL** (2022), which reinforces nominal controllers with deep RL for tilting-rotor drones, enhancing stability in complex flight tasks. His **TRG-Planner** (2025) introduces a traversal risk graph approach for safe, efficient path planning in hazardous environments like caves or disaster zones. Additionally, **TOSS** (2024) advances real-time tracking and moving object segmentation for static scene mapping. With over 150 citations across his key works, Nahrendra’s research pushes the boundaries of adaptive, risk-aware autonomy for legged and aerial robots, making him a rising figure in field robotics and embodied AI.
Research Focus
Key Achievements
Top Papers
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