首页|Research from Beihang University Yields New Study Findings on Robotics (Perceived Safety Assessment of Interactive Motions in Human-Soft Robot Interaction)

Research from Beihang University Yields New Study Findings on Robotics (Perceived Safety Assessment of Interactive Motions in Human-Soft Robot Interaction)

扫码查看
Investigators discuss new findings in robotics. According to news reporting from Beijing, People's Republic of China, by NewsRx journalists, research stated, “Soft robots, especially soft robotic hands, possess prominent potential for applications in close proximity and direct contact interaction with humans due to their softness and compliant nature.” Financial supporters for this research include National Science Foundation For Excellent Young Scholars, China; National Science Foundation Support Projects, China. Our news journalists obtained a quote from the research from Beihang University: “The safety perception of users during interactions with soft robots plays a crucial role in influencing trust, adaptability, and overall interaction outcomes in human-robot interaction (HRI). Although soft robots have been claimed to be safe for over a decade, research addressing the perceived safety of soft robots still needs to be undertaken. The current safety guidelines for rigid robots in HRI are unsuitable for soft robots. In this paper, we highlight the distinctive safety issues associated with soft robots and propose a framework for evaluating the perceived safety in human-soft robot interaction (HSRI). User experiments were conducted, employing a combination of quantitative and qualitative methods, to assess the perceived safety of 15 interactive motions executed by a soft humanoid robotic hand. We analyzed the characteristics of safe interactive motions, the primary factors influencing user safety assessments, and the impact of motion semantic clarity, user technical acceptance, and risk tolerance level on safety perception.”

Beihang UniversityBeijingPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.8)
  • 57