Author:
Chen Yiwen,Li Xue,Guo Sheng,Ng Xian Yao,Ang Marcelo H.
Publisher
Springer Nature Switzerland
Reference19 articles.
1. A Learning-Based Framework for Robot Peg-Hole-Insertion, volume Volume 2 of Dynamic Systems and Control Conference. 10 2015.V002T27A002.
2. Camilo, B.-H.C., Petit, D., Ramirez-Alpizar, I.G., Harada, K.: Variable compliance control for robotic peg-in-hole assembly: a deep reinforcement learning approach (2020)
3. Chen, X., Ghadirzadeh, A., Bjorkman, M., Jensfelt, P.: Adversarial feature training for generalizable robotic visuomotor control. In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 1142–1148 (2020)
4. Akkaya, I., et al.: Solving Rubik’s cube with a robot hand (2019)
5. Xu, J., et al.: Feedback deep deterministic policy gradient with fuzzy reward for robotic multiple peg-in-hole assembly tasks. IEEE Trans. Ind. Inf. 15(3), 1658–1667 (2019)