5 papers · 1 filter
Improving the realism of robotic surgery simulation through injection of learning-based estimated errors
Juan Antonio Barragan, Hisashi Ishida, Adnan Munawar +1
The development of algorithms for automation of subtasks during robotic surgery can be accelerated by the availability of realistic simulation environments. In this work, we focus…
Beyond the Manual Touch: Situational-aware Force Control for Increased Safety in Robot-assisted Skullbase Surgery
Hisashi Ishida, Deepa Galaiya, Nimesh Nagururu +4
Purpose - Skullbase surgery demands exceptional precision when removing bone in the lateral skull base. Robotic assistance can alleviate the effect of human sensory-motor limitatio…
Integrating 3D Slicer with a Dynamic Simulator for Situational Aware Robotic Interventions
Manish Sahu, Hisashi Ishida, Laura Connolly +6
Image-guided robotic interventions represent a transformative frontier in surgery, blending advanced imaging and robotics for improved precision and outcomes. This paper addresses…
Haptic-Assisted Collaborative Robot Framework for Improved Situational Awareness in Skull Base Surgery
Hisashi Ishida, Manish Sahu, Adnan Munawar +5
Skull base surgery is a demanding field in which surgeons operate in and around the skull while avoiding critical anatomical structures including nerves and vasculature. While imag…
Fully Immersive Virtual Reality for Skull-base Surgery: Surgical Training and Beyond
Adnan Munawar, Zhaoshuo Li, Nimesh Nagururu +4
Purpose: A virtual reality (VR) system, where surgeons can practice procedures on virtual anatomies, is a scalable and cost-effective alternative to cadaveric training. The fully d…