Pejman Kheradmand — accepted AI-conference papers

2024

Towards a Tendon-Assisted Magnetically Steered (TAMS) Robotic Stylet for Brachytherapy

Pejman Kheradmand, Behnam Moradkhani, Harshith Jella, Keith Sowards, Scott R. Silva, Yash Chitalia

RA-L 2024

Interstitial brachytherapy requires up to 20 straight needles to surround and irradiate deep-seated tumors, but may offer sub-optimal radiation dosage in cases of advanced cancers. A steerable stylet can be used to guide the needle within the tissue, improving procedure accuracy and reducing the num

Cited by 6 Source ↗Scholar ↗

2020

Investigation of a Hybrid Kinematic Calibration Method for the "Sina" Surgical Robot

Alireza Alamdar, Pouya Samandi, Shahrzad Hanifeh, Pejman Kheradmand, Alireza Mirbagheri, Farzam Farahmand +1

RA-L 2020

Calibrating the inverse kinematics of complex robots is often a challenging task. Finding analytical solutions is not always possible and the convergence of numerical methods is not guaranteed. The model-free approaches, based on machine learning and artificial intelligence, are fast and easy to wor

Cited by 9 Source ↗Scholar ↗