Demo Data from SIGIR 2026 / reviewers in the wild / expert
Sarah Go
dblp:348/4297
· DBLP profile ↗
4ranked-venue papers
0as first author
4since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 3 since 2021Systems, architecture and hardware · 3 · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
physical human-robot interaction |
0.9 | 1 | 2025 | Towards Evaluating the User Comfort and Experience of a Novel Steerable Drilling Robotic System in Pedicle Screw Fixation Procedures: A User Study · ICRA 2025 |
Human-robot interaction › healthcare robotics
robot-assisted surgery |
0.3 | 1 | 2025 | Towards Evaluating the User Comfort and Experience of a Novel Steerable Drilling Robotic System in Pedicle Screw Fixation Procedures: A User Study · ICRA 2025 |
Methods — techniques the papers use, named apart from their topics
user study · 0.9admittance control · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Towards Evaluating the User Comfort and Experience of a Novel Steerable Drilling Robotic System in Pedicle Screw Fixation Procedures: A User StudyabstractAiming at developing a safe, intuitive, and collaborative steerable drilling robotic system for pedicle screw fixation procedures, in this paper, we leverage our recently developed steerable drilling robotic framework, and developed a collaborative drilling mode to control this system. In this control mode, first a user positions a concentric tube steerable drilling robot (CT-SDR) in the workspace and aligns it based on a preplanned trajectory. Next, the CT-SDR is directly controlled by the user through an admittance mode to perform a drilling procedure and creating a J-shape tunnel. To evaluate the user comfort and intuitiveness of the drilling procedure using this system and the proposed control interface, we performed a user study with 11 subjects, who had no prior experience in using this system. The results of this study were analyzed using various qualitative and quantitative metrics. Susheela Sharma, Frigyes Samuel Racz, Sarah Go, Siddhartha Kapuria, Omid Rezayof, Jordan P. Amadio, Mohsen Khadem, José del R. Millán, Farshid Alambeigi |
ICRA | 3 |
| 2025 | Towards Design and Development of a Concentric Tube Steerable Drilling Robot for Creating S-shape Tunnels for Pelvic Fixation ProceduresabstractCurrent pelvic fixation techniques rely on rigid drilling tools, which inherently constrain the placement of rigid medical screws in the complex anatomy of pelvis. These constraints prevent medical screws from following anatomically optimal pathways and force clinicians to fixate screws in linear trajectories. This suboptimal approach, combined with the unnatural placement of the excessively long screws, lead to complications such as screw misplacement, extended surgery times, and increased radiation exposure due to repeated X-ray images taken ensure to safety of procedure. To address these challenges, in this paper, we present the design and development of a unique 4-degree-of-freedom (DoF) pelvic concentric tube steerable drilling robot (pelvic CT-SDR). The pelvic CT-SDR is capable of creating long S-shaped drilling trajectories that follow the natural curvatures of the pelvic anatomy. The performance of the pelvic CT-SDR was thoroughly evaluated through several S-shape drilling experiments in simulated bone phantoms. Yash Kulkarni, Susheela Sharma, Sarah Go, Jordan P. Amadio, Mohsen Khadem, Farshid Alambeigi |
IROS | 3 |
| 2024 | Spatial Spinal Fixation: A Transformative Approach Using a Unique Robot-Assisted Steerable Drilling System and Flexible Pedicle ScrewabstractSpinal fixation procedures are currently limited by the rigidity of the existing instruments and pedicle screws leading to fixation failures and rigid pedicle screw pull out. Leveraging our recently developed Concentric Tube Steerable Drilling Robot (CT-SDR) in integration with a robotic manipulator, to address the aforementioned issue, here we introduce the transformative concept of Spatial Spinal Fixation (SSF) using a unique Flexible Pedicle Screw (FPS). The proposed SSF procedure enables planar and out-of-plane placement of the FPS throughout the full volume of the vertebral body. In other words, not only does our fixation system provide the option of drilling in-plane and out-of-plane trajectories, it also enables implanting the FPS inside linear (represented by an I-shape) and/or non-linear (represented by J-shape) trajectories. To thoroughly evaluate the functionality of our proposed robotic system and the SSF procedure, we have performed various experiments by drilling different I-J and J-J drilling trajectory pairs into our custom-designed L3 vertebral phantoms and analyzed the accuracy of the procedure using various metrics. Susheela Sharma, Yash Kulkarni, Sarah Go, Jeff Bonyun, Jordan P. Amadio, Maryam Tilton, Mohsen Khadem, Farshid Alambeigi |
IROS | 3 |
| 2024 | A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot
Susheela Sharma, Sarah Go, Zeynep Yakay, Yash Kulkarni, Siddhartha Kapuria, Jordan P. Amadio, Reza Rajebi, Mohsen Khadem, Nassir Navab, Farshid Alambeigi |
MICCAI (6) | 2 |