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A stable Lyapunov approach for designing deep policies for complex robot motion tasks.
Olalekan Ogunmolu, Ayaka Kume, and Jethro Tan.
(Working Manuscript) IEEE Robotics and Automation Letters (RAL/IROS), Las Vegas, NV. 2020.
Mechanism and Constitutive Model of a Continuum Robot for Head and Neck Cancer Radiotherapy.
Olalekan Ogunmolu, Xinmin Liu, Nick Gans, and Rodney Wiersma.
(Submitted) IEEE Robotics and Automation Letters (RAL/ICRA), Paris, France. 2020.
Kinematics and Dynamics of a Continuum Motion-Correction Mechanism for Frameless and Maskless Cancer Radiation Therapy.
Olalekan Ogunmolu, and yet-to-be-decided co-authors.
(Working Manuscript) IEEE Transactions on Robotics (T-RO), 2020.
A Multi-DOF Soft Robot Mechanism for Patient Motion Correction and Beam Orientation Selection in Cancer Radiation Therapy.
Olalekan Ogunmolu
(Appeared in) PhD Thesis. The University of Texas at Dallas; UT Southwestern Medical Center. May, 2019.
A Fast Deep Learning Approach for Beam Orientation Selection in Cancer Patients.
Azar Sadeghnejad Barkousaraie, Olalekan Ogunmolu, Steve Jiang, and Dan Nguyen.
(Submitted) Medical Physics (An AAPM Journal), May, 2019.
Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy.
Azar Sadeghnejad Barkousaraie, Olalekan Ogunmolu, Steve Jiang, and Dan Nguyen.
(Accepted at) International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), XXII, Shenzhen, China. October 2019.
Deep Learning Neural Network for Beam Orientation Optimization.
Azar Sadeghnejad Barkousaraie, Olalekan Ogunmolu, Steve Jiang, and Dan Nguyen.
(Accepted at) International Conference on the use of Computers in Radiation Therapy (ICCR) XVI, Montreal, CA. June 2019.
Deep BOO! Automating Beam Orientation Selection in Intensity Modulated Radiation Therapy.
Olalekan Ogunmolu, Michael Folkerts, Dan Nguyen, and Steve Jiang.
(Appeared in) Springer's Proceedings in Advanced Robotics Book. Presented at WAFR XIII. 2019.
Minimax Iterative Dynamic Game: Application to Nonlinear Robot Control Tasks.
Olalekan Ogunmolu, Nick Gans, and Tyler Summers.
(Appeared in) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Madrid. 2018.
Design and Development of A Soft Robot for Head and Neck Cancer Radiotherapy.
Yara Almubarak, Joshi Aniket, Olalekan Ogunmolu, Xuejun Gu, Steve Jiang, Nicholas Gans, and Yonas Tadesse
(Appeared in) SPIE: Smart Structures + Nondestructive Evaluation. Denver, CO, U.S.A. March 2018.
Soft-NeuroAdapt: A 3-DOF Neuro-Adaptive Pose Correction System For Frameless and Maskless Cancer Radiotherapy.
Olalekan Ogunmolu, Adwait Kulkarn, Yonas Tadesse, Xuejun Gu, Steve Jiang, and Nick Gans
(Appeared in) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Vancouver, BC. 2017.
Robust Zero-Sum Deep Reinforcement Learning.
Olalekan Ogunmolu, Nick Gans, and Tyler Summers.
(Technical Report) arXiv, 2017.
Nonlinear Systems Identification Using Deep Dynamic Neural Networks.
Olalekan Ogunmolu, Xuejun Gu, Steve Jiang, and Nick Gans
(Technical Report) arXiv, 2016.
Vision-based Control of a Soft Robot for Maskless Cancer Radiotherapy.
Olalekan Ogunmolu, Xuejun Gu, Steve Jiang, and Nick Gans
(Appeared in) IEEE Conference on Automation Science and Engineering (CASE). Fort-Worth, Texas, August 2016.
A Real-Time Soft-Robotic Patient Positioning System for Maskless Head-and-Neck Cancer Radiotherapy.
Olalekan Ogunmolu, Xuejun Gu, Steve Jiang, and Nick Gans
(Appeared in) IEEE Conference on Automation Science and Engineering (CASE). Gothenburg, Sweden, August 2015.