A Unified Interaction Control Framework for Safe Robotic Ultrasound Scanning with Human-Intention-Aware Compliance
Xiangjie Yan, Shaqi Luo, Yongpeng Jiang, Mingrui Yu, Chen Chen,, Senqiang Zhu, Gao Huang, Shiji Song, Xiang Li

TL;DR
This paper introduces a unified control framework for robotic ultrasound scanning that ensures safety and efficiency by recognizing human intentions and adapting compliance during interactions.
Contribution
It presents a novel, integrated control system capable of handling all common human-robot interactions in ultrasound scanning, improving safety and operational smoothness.
Findings
Successfully manages intended human interventions during scanning.
Effectively avoids and mitigates unintended collisions.
Demonstrates improved safety and efficiency in experimental tests.
Abstract
The ultrasound scanning robot operates in environments where frequent human-robot interactions occur. Most existing control methods for ultrasound scanning address only one specific interaction situation or implement hard switches between controllers for different situations, which compromises both safety and efficiency. In this paper, we propose a unified interaction control framework for ultrasound scanning robots capable of handling all common interactions, distinguishing both human-intended and unintended types, and adapting with appropriate compliance. Specifically, the robot suspends or modulates its ongoing main task if the interaction is intended, e.g., when the doctor grasps the robot to lead the end effector actively. Furthermore, it can identify unintended interactions and avoid potential collision in the null space beforehand. Even if that collision has happened, it can…
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Taxonomy
TopicsTeleoperation and Haptic Systems · Soft Robotics and Applications · Robot Manipulation and Learning
