Ankita Ranjan
Papers
1
Total Citations
10
H-Index
1
About
Dr. Ankita Ranjan is a robotics researcher whose work bridges computer vision and humanoid control, with a focus on enabling autonomous manipulation. Her most cited work, "Identification and control of NAO humanoid robot to grasp an object using monocular vision" (2017, 10 citations), addresses a fundamental challenge in robotics: hand-eye coordination using a single camera. In this study, she developed a complete pipeline for the NAO humanoid—from camera calibration to object identification and grasp control—demonstrating how monocular vision can effectively guide a robot’s manipulators without the need for stereo or depth sensors. This contribution is particularly valuable for low-cost, accessible humanoid platforms used in education and research. Dr. Ranjan’s work has helped advance the practical integration of vision-based control in humanoid robotics, laying groundwork for more intuitive human-robot interaction. Her research continues to explore how robots can perceive and interact with their environment using minimal sensory input, making autonomous grasping more achievable for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1