Milena Molska
Papers
1
Total Citations
4
H-Index
1
About
Milena Molska is a researcher focused on advancing robotic perception and interaction within human-centric environments. Her primary research areas include computer vision, 3D scene understanding, and kinematic structure estimation, with a particular emphasis on enabling robots to manipulate everyday objects. Her most notable contribution, "Kinematic Structures Estimation on the RGB-D Images" (2020, 4 citations), introduces a system that detects and estimates the kinematic properties of common indoor objects such as doors, sliding doors, and drawers. This work is pivotal for autonomous robots operating in homes and workplaces, as it allows them to understand how objects move and interact, moving beyond static recognition to dynamic manipulation. By focusing on these functional elements, Molska’s research bridges the gap between visual perception and physical action, laying groundwork for more adaptive and useful robotic assistants. Her work underscores a commitment to solving practical challenges in human-robot interaction, making her a promising voice in the field of embodied AI.
Research Focus
Key Achievements
Top Papers
- 1Kinematic Structures Estimation on the RGB-D Images4 citations · 2020