Lio-A Personal Robot Assistant for Human-Robot Interaction and Care Applications
| Autor: | Patricia Duchamp, Nelija Miseikiene, Lucas Eicher, Justinas Miseikis, Michael Fruh, Rastislav Marko, Alina Gasser, Frederik Zwilling, Charles de Castelbajac, Pietro Caroni, Hansruedi Fruh |
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| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
0209 industrial biotechnology Personal robot Decision support system Control and Optimization 020205 medical informatics Computer Science - Artificial Intelligence Computer science Autonomous agent Computer Science - Human-Computer Interaction Biomedical Engineering automation in life sciences: biotechnology Cloud computing 02 engineering and technology Article Human–robot interaction Human-Computer Interaction (cs.HC) Computer Science - Robotics 020901 industrial engineering & automation Artificial Intelligence Human–computer interaction pharmaceutical and health care 0202 electrical engineering electronic engineering information engineering Collision detection business.industry Mechanical Engineering Mobile robot Computer Science Applications Human-Computer Interaction Artificial Intelligence (cs.AI) Service robotics Control and Systems Engineering Robot autonomous agents human-centered robotics Computer Vision and Pattern Recognition physical human-robot interaction business Robotics (cs.RO) |
| Zdroj: | Ieee Robotics and Automation Letters IEEE Robotics and Automation Letters |
| ISSN: | 2377-3774 |
| Popis: | Lio is a mobile robot platform with a multi-functional arm explicitly designed for human-robot interaction and personal care assistant tasks. The robot has already been deployed in several health care facilities, where it is functioning autonomously, assisting staff and patients on an everyday basis. Lio is intrinsically safe by having full coverage in soft artificial-leather material as well as having collision detection, limited speed and forces. Furthermore, the robot has a compliant motion controller. A combination of visual, audio, laser, ultrasound and mechanical sensors are used for safe navigation and environment understanding. The ROS-enabled setup allows researchers to access raw sensor data as well as have direct control of the robot. The friendly appearance of Lio has resulted in the robot being well accepted by health care staff and patients. Fully autonomous operation is made possible by a flexible decision engine, autonomous navigation and automatic recharging. Combined with time-scheduled task triggers, this allows Lio to operate throughout the day, with a battery life of up to 8 hours and recharging during idle times. A combination of powerful on-board computing units provides enough processing power to deploy artificial intelligence and deep learning-based solutions on-board the robot without the need to send any sensitive data to cloud services, guaranteeing compliance with privacy requirements. During the COVID-19 pandemic, Lio was rapidly adjusted to perform additional functionality like disinfection and remote elevated body temperature detection. It complies with ISO13482 - Safety requirements for personal care robots, meaning it can be directly tested and deployed in care facilities. Accepted submission at IEEE Robotics and Automation Letters (RA-L), submitted to IEEE IROS 2020 |
| Databáze: | OpenAIRE |
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