4 accepted papers
Robot failures during collaborative tasks can frustrate users and reduce trust. To address this, we developed a failure communication module that combines large language models (LLMs) with Behavior Trees (BTs) to generate interactive, context-aware explanations for task failures. The module supports…
This work aims to interpret human behavior to anticipate potential user confusion when a robot provides explanations for failure, allowing the robot to adapt its explanations for more natural and efficient collaboration. Using a dataset [1] that included facial emotion detection, eye gaze estimation
To facilitate human-robot interaction (HRI), we aim for robot behavior that is efficient, transparent, and closely resembles human actions. Signal Temporal Logic (STL) is a formal language that enables the specification and verification of complex temporal properties in robotic systems, helping to e
This paper proposes a new kind of light-weight manipulators suitable for safe interactions. The proposed manipulators use anti-parallelogram joints in series, referred to as X-joints. Each X-joint is remotely actuated with cables and springs in parallel, thus realizing a tensegrity one-degree-of-fre…