Vijaya Laxmi
Papers
1
Total Citations
10
H-Index
1
About
Vijaya Laxmi is a robotics researcher whose work focuses on the intersection of computer vision and humanoid robot control. Her key research areas include monocular vision systems, hand-eye coordination, and autonomous object manipulation for humanoid platforms. Her most cited work, "Identification and control of NAO humanoid robot to grasp an object using monocular vision" (2017), addresses a fundamental challenge in robotics: enabling a robot to perceive and interact with its environment using a single camera. In this study, she developed a complete pipeline involving camera calibration and visual servoing to allow the NAO humanoid robot to identify, locate, and grasp objects autonomously. This contribution is significant for advancing low-cost, vision-based robotic manipulation, with applications in assistive robotics and human-robot interaction. With 10 citations, this paper has informed subsequent work in monocular depth estimation and robot grasping. Laxmi’s research bridges computer vision and control theory, demonstrating how simple visual inputs can enable complex robotic behaviors. Her work is particularly valuable for students and researchers interested in practical implementations of vision-based control on accessible robotic platforms like the NAO.
Research Focus
Key Achievements
Top Papers
- 1