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Trajectory planning under different initial conditions for surgical task automation by learning from demonstration.

, , , и . ICRA, стр. 6507-6513. IEEE, (2014)

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Takayuki Sugimoto

Takayuki Sugimoto

Takayuki Shindo

Takayuki Saito

Adolf Osa

 

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Online Trajectory Planning in Dynamic Environments for Surgical Task Automation., , и . Robotics: Science and Systems, (2014)Multimodal trajectory optimization for motion planning.. Int. J. Robotics Res., (2020)Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes., и . CoRR, (2019)Deformation analysis and active compensation of surgical milling robot based on system error evaluation., , , и . ICRA, стр. 3389-3394. IEEE, (2008)Meta-Model-Based Meta-Policy Optimization., , , , , и . ACML, том 157 из Proceedings of Machine Learning Research, стр. 129-144. PMLR, (2021)Touch-Based Manipulation with Multi-Fingered Robot using Off-policy RL and Temporal Contrastive Learning., , , , , , и . ICRA, стр. 7501-7507. IEEE, (2024)Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning., и . ICML, OpenReview.net, (2024)Forward/Inverse Kinematics Modeling for Tensegrity Manipulator Based on Goal-Conditioned Variational Autoencoder., , и . IROS, стр. 6668-6673. (2023)Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning., , , и . AAAI, стр. 14474-14481. AAAI Press, (2024)Autonomous penetration detection for bone cutting tool using demonstration-based learning., , , , , , , , , и . ICRA, стр. 290-296. IEEE, (2014)