Radian Gondokaryono
Papers
10
Total Citations
172
H-Index
5
About
Radian Gondokaryono is a leading researcher at the intersection of surgical robotics, simulation, and autonomous manipulation. Their work focuses on three key areas: MRI-compatible robotic systems for neurosurgery, high-fidelity robot simulation environments, and sim-to-real transfer for autonomous surgical tasks. Gondokaryono’s major contributions include the development of a real-time dynamic simulator capable of modeling complex robots and environments (59 citations), and the mechanical validation of an MRI-compatible stereotactic neurosurgery robot for pre-clinical trials (46 citations). Their research on an integrated robotic system for MRI-guided neuroablation (32 citations) demonstrates a clear translational impact, advancing precise, image-guided interventions for brain tumors. More recently, Gondokaryono has pioneered vision-based reinforcement learning for surgical robots, achieving robust sim-to-real transfer for tasks like rope cutting and nonprehensile dynamic manipulation using the da Vinci Research Kit. Their work on 2mm diameter continuum robot tools for fetal surgery represents a notable achievement in ultra-minimally invasive techniques. With a growing portfolio of highly cited papers and innovations spanning simulation, autonomy, and clinical robotics, Gondokaryono is shaping the future of intelligent, autonomous surgical systems.
Research Focus
Key Achievements
Top Papers
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- 9Simulating Mesh Cutting with the dVRK in Unity3 citations · 2023
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