AR-Supported Supervision of Conditional Autonomous Robots: Considerations for Pedicle Screw Placement in the Future.
Josefine SchreiterDanny SchottLovis SchwenderlingChristian HansenFlorian HeinrichFabian JoeresPublished in: Journal of imaging (2022)
Robotic assistance is applied in orthopedic interventions for pedicle screw placement (PSP). While current robots do not act autonomously, they are expected to have higher autonomy under surgeon supervision in the mid-term. Augmented reality (AR) is promising to support this supervision and to enable human-robot interaction (HRI). To outline a futuristic scenario for robotic PSP, the current workflow was analyzed through literature review and expert discussion. Based on this, a hypothetical workflow of the intervention was developed, which additionally contains the analysis of the necessary information exchange between human and robot. A video see-through AR prototype was designed and implemented. A robotic arm with an orthopedic drill mock-up simulated the robotic assistance. The AR prototype included a user interface to enable HRI. The interface provides data to facilitate understanding of the robot's "intentions", e.g., patient-specific CT images, the current workflow phase, or the next planned robot motion. Two-dimensional and three-dimensional visualization illustrated patient-specific medical data and the drilling process. The findings of this work contribute a valuable approach in terms of addressing future clinical needs and highlighting the importance of AR support for HRI.
Keyphrases
- electronic health record
- robot assisted
- minimally invasive
- endothelial cells
- randomized controlled trial
- induced pluripotent stem cells
- healthcare
- big data
- pluripotent stem cells
- computed tomography
- deep learning
- physical activity
- positron emission tomography
- ultrasound guided
- optical coherence tomography
- machine learning
- virtual reality
- contrast enhanced
- convolutional neural network
- data analysis
- artificial intelligence
- pet ct