K. M. Nalini
Papers
1
Total Citations
6
H-Index
1
About
K. M. Nalini’s research centers on robotics and machine vision, with a particular focus on enabling autonomous systems to interact with unstructured environments. Her most-cited work, “Roboic recognition for unstructered 2-D parts to pick and place objects” (2017), tackles the fundamental challenge of robot grasping in home settings—a critical step toward practical autonomous assembly. By leveraging 2-D vision to identify desired grasping locations through bounding rectangles, she has contributed to making robots more adaptable in cluttered, real-world spaces. While her citation count (6) reflects the niche, early-stage nature of her investigations, her work addresses a persistent bottleneck in robotics: reliable object manipulation without prior knowledge of part geometry. This research has implications for assistive technologies, manufacturing, and domestic robotics. Nalini’s focus on vision-based solutions for unstructured environments positions her as a contributor to the growing field of robotic perception, where her methods offer a foundation for future work in autonomous pick-and-place systems.
Research Focus
Key Achievements
Top Papers
- 1Roboic recognition for unstructered 2-D parts to pick and place objects6 citations · 2017