Papers
1
Total Citations
2
H-Index
1
About
Dr. Z. Yousaf is a robotics researcher specializing in human-robot collaboration, with a particular focus on the development of autonomous co-bots—robots designed for safe, direct interaction with humans. Their most cited work, "Algorithm and Implementation of Human Following Co-bot using 2D LiDAR" (2021), introduces a novel framework enabling a robot to reliably detect, distinguish, and track a human companion using only 2D LiDAR data. This contribution is critical for applications ranging from surveillance and clinical assistance to defense and social robotics, where a robot must autonomously follow a person through dynamic environments. By demonstrating a cost-effective, sensor-efficient solution to the human-following problem, Dr. Yousaf’s research helps bridge the gap between industrial automation and everyday human-centric services. Though early in their career, this foundational paper has already garnered attention (2 citations) for its practical algorithm and clear implementation pathway. Their work lays essential groundwork for the next generation of collaborative robots that can operate seamlessly alongside people in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Algorithm and Implementation of Human Following Co-bot using 2D LiDAR2 citations · 2021