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Resources for Visual Servoing, Grasping, Point Cloud

VISUAL SERVOING

PAPERS

  1. Hutchinson, Seth, Gregory D. Hager, and Peter I. Corke. "A Tutorial on Visual Servo Control." IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION 12.5 (1996).
  2. Chaumette, François, and Seth Hutchinson. "Visual servo control. I. Basic approaches." IEEE Robotics & Automation Magazine 13.4 (2006): 82-90.
  3. Chaumette, François, and Seth Hutchinson. "Visual servo control. II. Advanced approaches [Tutorial]." IEEE Robotics & Automation Magazine 14.1 (2007): 109-118.
  4. Bateux, Quentin, et al. "Training Deep Neural Networks for Visual Servoing." ICRA 2018-IEEE International Conference on Robotics and Automation. 2018.
  5. Chaumette, Francois. "Potential problems of stability and convergence in image-based and position-based visual servoing." The confluence of vision and control. Springer, London, 1998. 66-78.
  6. Malis, Ezio, Francois Chaumette, and Sylvie Boudet. "2 1/2 D visual servoing." IEEE Transactions on Robotics and Automation 15.2 (1999): 238-250.
  7. Chaumette, François, and Éric Marchand. "A redundancy-based iterative approach for avoiding joint limits: Application to visual servoing." IEEE Transactions on Robotics and Automation 17.5 (2001): 719-730.
  8. Mezouar, Youcef, and François Chaumette. "Path planning for robust image-based control." IEEE Transactions on Robotics and Automation 18.4 (2002): 534-549.
  9. Marchand, Eric, Alessandro Rizzo, and Francois Chaumette. "Avoiding robot joint limits and kinematic singularities in visual servoing." Pattern Recognition, 1996., Proceedings of the 13th International Conference on. Vol. 1. IEEE, 1996.

GitHub Repo

  1. ViSP
  2. ROS Package: Visual Seroving for Baxter

Course Website

  1. KTH Visual Servoing Class by Danica Kragic

GRASPING

PAPERS

  1. Viereck, Ulrich, et al. "Learning a visuomotor controller for real world robotic grasping using easily simulated depth images." arXiv preprint arXiv:1706.04652 (2017).
  2. Gualtieri, Marcus, et al. "High precision grasp pose detection in dense clutter." Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on. IEEE, 2016.
  3. ten Pas, Andreas, et al. "Grasp pose detection in point clouds." The International Journal of Robotics Research (2017): 0278364917735594.
  4. Gualtieri, Marcus, Andreas ten Pas, and Robert Platt. "Pick and Place Without Geometric Object Models."

GitHub Repo

  1. Andreas ten Pas, PhD @ Northeastern University

Point Cloud

PAPERS

  1. Aldoma, Aitor, et al. "Tutorial: Point cloud library: Three-dimensional object recognition and 6 dof pose estimation." IEEE Robotics & Automation Magazine 19.3 (2012): 80-91.