Publications

(2022). Team O2AC at the World Robot Summit 2020: Towards Jigless, High-Precision Assembly. Advance Robotics 2022.

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(2022). Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots. IROS RA-L 2020.

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(2022). Accelerating Robot Learning of Contact-Rich Manipulations: A Curriculum Learning Study. ArXiv.

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(2022). An Adaptive Imitation Learning Framework for Robotic Complex Contact-Rich Insertion Tasks. Frontiers in Robotics and AI.

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(2022). Reinforcement Learning Framework for Real-world Robotic Arm. In RSJ2022.

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(2021). Hybrid Trajectory and Force Learning of Complex Assembly Tasks: A Combined Learning Framework. IEEE Access 2021.

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(2021). Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning. ICRA 2021.

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(2020). Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach. Appl. Sci..

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(2020). Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots. IROS RA-L 2020.

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(2019). Hybrid position-force control with reinforcement learning. In SI2019.

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(2019). ロボットの制御装置、制御方法、及びプログラム. 出願番号(国際出願番号):特願2020-109801 / 公開番号(公開出願番号):特開2021-091079.

Source Document

(2019). Reinforcement Learning Framework for Real-world Robotic Arm. In RSJ2019.

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(2019). Learning to Grasp with Primitive Shaped Object Policies. In SII2019.

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(2018). Industry 4.0, Intelligent Visual Assisted Picking Approach. MIKE 2018.

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(2018). Learning to grasp with guided policy search. In RSJ2018.

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(2015). An example journal article. Journal of Source Themes, 1(1).

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