Yunke Ao

According to our database, Yunke Ao authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery.

Yunke Ao, Manish Prajapat, Yarden As, Yassine Taoudi-Benchekroun, Fabio Carrillo, Hooman Esfandiari, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl

IEEE Robotics Autom. Lett., May, 2026

Revisiting Greedy Decoding for Visual Question Answering: A Calibration Perspective.

Boqi Chen, Xudong Liu, Yunke Ao, Jianing Qiu

CoRR, April, 2026

Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics.

Nigel Nelson, Juo-Tung Chen, Jesse Haworth, Xinhao Chen, Lukas Zbinden, Dianye Huang, Alaa Eldin Abdelaal, Alberto Arezzo, Ayberk Acar, Farshid Alambeigi, Carlo Alberto Ammirati, Yunke Ao, Pablo David Aranda Rodriguez, Soofiyan Atar, Mattia Ballo, Noah Barnes, Federica Barontini, Filip Binkiewicz, Peter Black, Sebastian Bodenstedt, Leonardo Borgioli, Nikola Budjak, Benjamin Calmé, Fabio Carrillo, Nicola Cavalcanti, Changwei Chen, Haoxin Chen, Sihang Chen, Qihan Chen, Zhongyu Chen, Ziyang Chen, Shing Shin Cheng, Meiqing Cheng, Min Cheng, Zih-Yun Sarah Chiu, Xiangyu Chu, Camilo Correa-Gallego, Giulio Dagnino, Anton Deguet, Jacob Delgado, Jonathan C. DeLong, Kaizhong Deng, Alexander Dimitrakakis, Qingpeng Ding, Hao Ding, Giovanni Distefano, Daniel A. Donoho, Anqing Duan, Marco Esposito, Shane Farritor, Jad Fayad, Zahi Fayad, Mario Ferradosa, Filippo Filicori, Chelsea Finn, Philipp Fürnstahl, Jiawei Ge, Stamatia Giannarou, Xavier Giralt Ludevid, Frédéric H. Giraud, Aditya Amit Godbole, Ken Goldberg, Antony Goldenberg, Diego Granero Marana, Xiaoqing Guo, Tamás Haidegger, Evan Hailey, Pascal Hansen, Ziyi Hao, Kush Hari, Kengo Hayashi, Jonathon Hawkins, Shelby Haworth, Ortrun Hellig, S. Duke Herrell, Zhouyang Hong, Andrew Howe, Junlei Hu, Zhaoyang Jacopo Hu, Ria Jain, Mohammad Rafiee Javazm, Howard Ji, Rui Ji, Jianmin Ji, Zhongliang Jiang, Dominic Jones, Jeffrey Jopling, Britton Jordan, Ran Ju, Michael Kam, Luoyao Kang, Fausto Kang, Siddhartha Kapuria, Peter Kazanzides, Sonika Kiehler, Ethan Kilmer, Ji Woong Kim, Przemyslaw Korzeniowski, et al.

CoRR, April, 2026

Bounded Ratio Reinforcement Learning.

Yunke Ao, Le Chen, Bruce D. Lee, Assefa S. Wahd, Aline Czarnobai, Philipp Fürnstahl, Bernhard Schölkopf, Andreas Krause

CoRR, April, 2026

NeuralBoneReg: An instance-specific label-free point cloud-based method for multi-modal bone surface registration.

Luohong Wu, Matthias Seibold, Nicola Alessandro Cavalcanti, Yunke Ao, Roman Flepp, Aidana Massalimova, Lilian Calvet, Philipp Fürnstahl

Medical Image Anal., 2026

2025

NeuralBoneReg: A Novel Self-Supervised Method for Robust and Accurate Multi-Modal Bone Surface Registration.

Luohong Wu, Matthias Seibold, Nicola Alessandro Cavalcanti, Yunke Ao, Roman Flepp, Aidana Massalimova, Lilian Calvet, Philipp Fürnstahl

CoRR, November, 2025

SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound.

Yunke Ao, Masoud Moghani, Mayank Mittal, Manish Prajapat, Luohong Wu, Frédéric H. Giraud, Fabio Carrillo, Andreas Krause, Philipp Fürnstahl

CoRR, July, 2025

Stochastic Model Predictive Control for Sub-Gaussian Noise.

Yunke Ao, Johannes Köhler, Manish Prajapat, Yarden As, Melanie Nicole Zeilinger, Philipp Fürnstahl, Andreas Krause

CoRR, March, 2025

SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement.

Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Christoph J. Laux, Yarden As, Ruixuan Li, Kaat Van Assche, Ayoob Davoodi, Nicola Alessandro Cavalcanti, Mazda Farshad, Benjamin F. Grewe, Emmanuel B. Vander Poorten, Andreas Krause, Philipp Fürnstahl

Medical Image Anal., 2025

Generalizable Single-Source Cross-Modality Medical Image Segmentation via Invariant Causal Mechanisms.

Boqi Chen, Yuanzhi Zhu, Yunke Ao, Sebastiano Caprara, Reto Sutter, Gunnar Rätsch, Ender Konukoglu, Anna Susmelj

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

MIXPINN: Mixed-Material Simulations by Physics-Informed Neural Network.

Xintian Yuan, Yunke Ao, Boqi Chen, Philipp Fürnstahl

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024

Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence.

Rakshit S. Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, Edgar A. Duéñez-Guzmán, Dipam Chakraborty, John P. Agapiou, Jayd Matyas, Alexander Sasha Vezhnevets, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoganaras, Yue Zhao, Marko Tesic, Natasha Jaques, Jakob N. Foerster, Vincent Conitzer, José Hernández-Orallo, Dylan Hadfield-Menell, Joel Z. Leibo

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement.

Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Yarden As, Mazda Farshad, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl

CoRR, 2023

Marine Vessel Attitude Estimation from Coastline and Horizon.

Shobhit Singhal, Yunke Ao, Deran Maas, Bruno Arsenali, Stefano Maranò

IROS, 2023

2022

Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning.

Yunke Ao, Le Chen, Florian Tschopp, Michel Breyer, Roland Siegwart, Andrei Cramariuc

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2020

Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning.

Le Chen, Yunke Ao, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, César Cadena

Proceedings of the 4th Conference on Robot Learning, 2020