Open Access
Issue
ITM Web Conf.
Volume 73, 2025
International Workshop on Advanced Applications of Deep Learning in Image Processing (IWADI 2024)
Article Number 01005
Number of page(s) 8
Section Reinforcement Learning and Optimization Techniques
DOI https://doi.org/10.1051/itmconf/20257301005
Published online 17 February 2025
  1. A. A. Awelewa, K. C. Mbanisi, S. O. Majekodunmi, I. A. Odigwe, A. F. Agbetuyi, I. A. Samuel, Development of a Prototype Robot Manipulator for Industrial Pick-and-Place Operations. International Journal of Mechanical Mechatronics Engineering, vol. 5, pp. 20-27 (2013). [Google Scholar]
  2. K. Jahnavi, P. Sivraj, Teaching and learning robotic arm model. In 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), pp. 1570-1575 (2017). [Google Scholar]
  3. V. Patidar, R. Tiwari, Survey of robotic arm and parameters. In 2016 International Conference on Computer Communication and Informatics (ICCCI), pp. 1-6 (2016). [Google Scholar]
  4. C. Peng, S. M. Lavalle, Resolution complete rapidly-exploring random trees. IEEE International Conference on Robotics and Automation, vol. 1, pp. 267-272 (2002). [Google Scholar]
  5. L. E. Kavraki, M. N. Kolountzakis, J. C. Latombe, Analysis of Probabilistic Roadmaps for Path Planning. IEEE Transactions on Robotics and Automation, vol. 14, no. 1, pp. 166-171 (1998). [CrossRef] [Google Scholar]
  6. Y. L. Hu, Q. S. Zhang, Multi-Robots Path Planning Based on Improved Artificial Potential Field Method. Advanced Materials Research, vol. 562-564, pp. 937-940 (2012). [CrossRef] [Google Scholar]
  7. Z. Li, H. Ma, Y. Ding, C. Wang, Y. Jin, Motion planning of six-dof arm robot based on improved DDPG algorithm. In 2020 39th Chinese Control Conference (CCC), pp. 3954-3959 (2020). [Google Scholar]
  8. R. S. Sutton, A. G. Barto, Reinforcement Learning. A Bradford Book, vol. 15, no. 7, pp. 665-685 (1998). [Google Scholar]
  9. A. Kumar, N. Paul, S. N. Omkar, Bipedal walking robot using deep deterministic policy gradient. arXiv preprint arXiv:1807.05924 (2018). [Google Scholar]
  10. T. Lindner, A. Milecki, Reinforcement Learning-Based Algorithm to avoid obstacles by the anthropomorphic robotic arm. Applied Sciences, vol. 12, no. 13, 6629 (2022). [CrossRef] [Google Scholar]
  11. S. Wen, J. Chen, S. Wang, H. Zhang, X. Hu, Path planning of humanoid arm based on deep deterministic policy gradient. In 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1755-1760 (2018). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.