TY - JOUR
T1 - Collaborative Human–Robot Interaction Interface
T2 - Development for a Spinal Surgery Robotic Assistant
AU - Amarillo, Andres
AU - Sanchez, Emilio
AU - Caceres, Juan
AU - Oñativia, Jon
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature.
PY - 2021/9
Y1 - 2021/9
N2 - The growing introduction of robotics in non-industrial applications where the environment is unstructured and changing, has led to the need of development of safer and more intuitive, human–robot interfaces. In such environments, the use of collaborative robots has potential benefits, due to the combination of user experience, knowledge and flexibility with the robot’s accuracy, stiffness and repeatability. Nevertheless, in order to guarantee a functional collaboration in these environments, the interaction between user and robot must be intuitive, natural, fast and easy to use. On one hand, commercial collaborative robots are less accurate and less stiff than the traditional industrial ones, on the other hand, the later have not intuitive interaction interfaces. There are tasks in which the stiffness of industrial robots and the intuitive interaction interfaces of collaborative commercial robots, are desirable. This is the case of some robotic assisted surgical procedures, such as robotic assisted spine surgery, with high accuracy demands and with the need of intuitive surgeon–robot interaction. This paper presents a hand guiding methodology for functional human–robot collaboration and the introduction of novel algorithms to enhance its behavior. Also its implementation on a robotic surgical assistant for spine procedures is presented. It is emphasized how a traditional industrial robot can be used as a collaborative one when the available commercial collaborative robots do not have the required accuracy and stiffness for the task.
AB - The growing introduction of robotics in non-industrial applications where the environment is unstructured and changing, has led to the need of development of safer and more intuitive, human–robot interfaces. In such environments, the use of collaborative robots has potential benefits, due to the combination of user experience, knowledge and flexibility with the robot’s accuracy, stiffness and repeatability. Nevertheless, in order to guarantee a functional collaboration in these environments, the interaction between user and robot must be intuitive, natural, fast and easy to use. On one hand, commercial collaborative robots are less accurate and less stiff than the traditional industrial ones, on the other hand, the later have not intuitive interaction interfaces. There are tasks in which the stiffness of industrial robots and the intuitive interaction interfaces of collaborative commercial robots, are desirable. This is the case of some robotic assisted surgical procedures, such as robotic assisted spine surgery, with high accuracy demands and with the need of intuitive surgeon–robot interaction. This paper presents a hand guiding methodology for functional human–robot collaboration and the introduction of novel algorithms to enhance its behavior. Also its implementation on a robotic surgical assistant for spine procedures is presented. It is emphasized how a traditional industrial robot can be used as a collaborative one when the available commercial collaborative robots do not have the required accuracy and stiffness for the task.
KW - Collaborative surgical robotics
KW - Hand-guiding
KW - Human robot interface
KW - Transpedicular fixation technology
UR - https://www.scopus.com/pages/publications/85098964746
U2 - 10.1007/s12369-020-00733-x
DO - 10.1007/s12369-020-00733-x
M3 - Article
AN - SCOPUS:85098964746
SN - 1875-4791
VL - 13
SP - 1473
EP - 1484
JO - International Journal of Social Robotics
JF - International Journal of Social Robotics
IS - 6
ER -