Augmented Reality (AR) for Surgical Robotic and Autonomous Systems: State of the Art, Challenges, an
- DHV-NET
- Jul 7, 2023
- 1 min read
We attempt to outline the shortcomings in current optimization algorithms for surgical robots (such as YOLO and LTSM) whilst providing mitigating solutions to internal tool-to-organ collision detection and image reconstruction. The accuracy of results in robot end-effector collisions and reduced occlusion remain promising within the scope of our research, validating the propositions made for the surgical clearance of ever-expanding AR technology in the future.
