Barbara Kuc
Papers
1
Total Citations
2
H-Index
1
About
Barbara Kuc is a robotics researcher specializing in autonomous navigation and human-robot interaction, with a particular focus on developing safe, intelligent systems for healthcare environments. Her most-cited work, "SLAM and obstacle detection for tall autonomous robotic medical assistant" (2018), addresses the critical challenge of indoor navigation for humanoid robots in hospitals. In this study, Kuc proposed a solution for Simultaneous Localization and Mapping (SLAM) combined with obstacle detection tailored to a 150 cm tall medical assistant robot, emphasizing people safety as the robot autonomously moves between rooms. This contribution is foundational for deploying taller humanoid platforms in crowded, dynamic clinical settings, where collision avoidance and reliable path planning are paramount. While her citation count (2) reflects early-stage impact, the work demonstrates her commitment to practical, safety-critical applications in robotics. Kuc’s research bridges the gap between theoretical SLAM algorithms and real-world deployment in sensitive environments like hospitals, positioning her as a promising voice in assistive robotics. Her focus on humanoid autonomy and patient-centered design underscores a vision for robots that can seamlessly integrate into human spaces, enhancing care delivery without compromising safety.
Research Focus
Key Achievements
Top Papers
- 1