Online Static Obstacle Avoidance and Offline Static Obstacle Avoidance Framework Based on Interaction Probabilistic Movement Primitives
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2789-0_30
Reference11 articles.
1. Schaal, S.: Dynamic movement primitives -A framework for motor control in humans and humanoid robotics. https://doi.org/10.1007/4-431-31381-8_23
2. Paraschos, A., Daniel, C., Peters, J., Neumann, G.: Probabilistic movement primitives. In: NIPS (2013)
3. Maeda, G., Ewerton, M., Lioutikov, R., Ben Amor, H., Peters, J., Neumann, G.: Learning interaction for collaborative tasks with probabilistic movement primitives. In: 2014 IEEE-RAS International Conference on Humanoid Robots, pp. 527–534 (2014). https://doi.org/10.1109/HUMANOIDS.2014.7041413
4. Fu, J., Du, J., Teng, X., Fu, Y., Wu, L.: Adaptive multi-task human-robot interaction based on human behavioral intention. IEEE Access 9, 133762–133773 (2021). https://doi.org/10.1109/ACCESS.2021.3115756
5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);J Fu,2019
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