Contact State Estimation for Peg-in-Hole Task based on Coordinate Transformation of Forces using Principal Component Analysis
Author:
Affiliation:
1. Saitama University
Publisher
The Robotics Society of Japan
Link
https://www.jstage.jst.go.jp/article/jrsj/42/5/42_42_489/_pdf
Reference14 articles.
1. 1) H. Ravichandar, et al.: “Recent Advances in Robot Learning from Demonstration,” Annu. Rev. Control. Robotics Auton. Syst., vol.3, pp.297–330, 2020.
2. 2) Z. Xie, et al.: “Robot learning from demonstration for path planning: A review,” Sci. China Technol. Sci, vol.63, pp.1325–1334, 2020.
3. 3) E. Adi-Japha, et al.: “A shift in task routines during the learning of a motor skill: Groupaveraged data may mask critical phases in the individuals' acquisition of skilled performance,” Journal of experimental psychology. Learning, memory, and cognition, vol.34, no.6, pp.1544–1551, 2011.
4. 4) K. Takeuchi, et al.: “Motion Generation Based on Contact State Estimation Using Two-stage Clustering,” IEEJ Journal of Industry Applications, vol.12, no.5, pp.1000–1007, 2023.
5. 5) X. Li, et al.: “Learning From Demonstration Based on Environmental Constraints,” IEEE Robotics and Automation Letters, vol.7, no.4, pp.1325–1334, 2022.
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