Ian T. Chuang — accepted AI-conference papers

2025

Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation

Ian T. Chuang, Andrew Lee, Dechen Gao, M.-Mahdi Naddaf-Sh, Iman Soltani

ICRA 2025

Imitation learning has demonstrated significant potential in performing high-precision manipulation tasks using visual feedback. However, it is common practice in imitation learning for cameras to be fixed in place, resulting in issues like occlusion and limited field of view. Furthermore, cameras a

Cited by 33 Source ↗code ↗Scholar ↗

2024

Hierarchical End-to-End Autonomous Navigation Through Few-Shot Waypoint Detection

Amin Ghafourian, Zhongying CuiZhu, Debo Shi, Ian T. Chuang, François Charette, Rithik Sachdeva +1

RA-L 2024

Human navigation is facilitated through the association of actions with landmarks, tapping into our ability to recognize salient features in our environment. Consequently, navigational instructions for humans can be extremely concise, such as short verbal descriptions, indicating a small memory requ

Cited by 10 Source ↗Scholar ↗