An‐Chieh Cheng
Papers
2
Total Citations
15
H-Index
2
About
An-Chieh Cheng is a leading researcher at the intersection of robotics, computer vision, and natural language processing, with a core focus on developing embodied AI systems that can understand and execute complex human commands. His most significant contribution is the creation of **NaVILA**, a pioneering Vision-Language-Action (VLA) model that enables legged robots to perform Vision-and-Language Navigation (VLN). This work solves the critical challenge of translating ambiguous human language instructions—such as "move forward out of the room" or "stop in front of the red door"—into precise, real-world locomotion for robots navigating challenging, cluttered environments. By bridging the gap between high-level linguistic commands and low-level motor control, Cheng’s research empowers robots to traverse terrains that are inaccessible to wheeled platforms. The impact of this work is already evident, with his 2025 NaVILA paper garnering **13 citations** in its first year, signaling strong interest from the community. Cheng’s achievements represent a major step toward more intuitive human-robot interaction, where anyone can guide a robot through natural language, unlocking new possibilities for search-and-rescue, domestic assistance, and exploration in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1NaVILA: Legged Robot Vision-Language-Action Model for Navigation13 citations · 2025
- 2NaVILA: Legged Robot Vision-Language-Action Model for Navigation2 citations · 2024