Robotic Manipulation and Control focuses on enabling robots to grasp, move, and interact with objects using advanced control algorithms. It studies robotic arms, grippers, and dexterous manipulators to achieve precision handling. Feedback from sensors enhances stability, accuracy, and adaptability. Machine learning improves manipulation in unstructured environments. This field supports industrial automation, assembly tasks, and humanoid robotics. With continuous improvements, robotic manipulation enables complex real-world interactions across diverse sectors.
| 2-5 Days | Initial Quality & Plagiarism Check |
| 15 Days |
Peer Review Feedback |
| 85% | Acceptance Rate (after peer review) |
| 30-45 Days | Total article processing time |