Bo Ying Su — accepted AI-conference papers

2024

Optimizing Multi-Touch Textile and Tactile Skin Sensing Through Circuit Parameter Estimation

Bo Ying Su, Yuchen Wu, Chengtao Wen, Changliu Liu

ICRA 2024poster

Tactile and textile skin technologies have become increasingly important for enhancing human-robot interaction and allowing robots to adapt to different environments. Despite notable advancements, there are ongoing challenges in skin signal processing, particularly in achieving both accuracy and spe…

Cited by 1 Source ↗Scholar ↗

2023

Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method

Alvin Shek, Bo Ying Su, Rui Chen, Changliu Liu

ICRA 2023poster

For robots to be effectively deployed in novel environments and tasks, they must be able to understand the feedback expressed by humans during intervention. This can either correct undesirable behavior or indicate additional preferences. Existing methods either require repeated episodes of interacti…

Cited by 7 Source ↗code ↗Scholar ↗