Mohammed Anchukandan
Technical University of Applied Sciences Würzburg-Schweinfurt
Papers
1
Total Citations
2
H-Index
1
About
Mohammed Anchukandan is a rising researcher at the forefront of human-robot interaction safety. His work focuses on developing robust frameworks to assess and mitigate risks in collaborative environments where humans and robots work side-by-side. Anchukandan’s most-cited paper, “Safety Assessment of Human-Robot Collaborations Using Failure Mode and Effects Analysis and Bow-Tie Analysis” (2024), introduces a novel dual-methodology approach that systematically identifies potential failure points and their cascading consequences. By integrating Failure Mode and Effects Analysis (FMEA) with Bow-Tie analysis, he provides engineers with a comprehensive tool to preemptively address hazards, from mechanical malfunctions to algorithmic errors. This contribution is particularly vital as industries increasingly adopt cobots in manufacturing, healthcare, and logistics. While his work is still early in its citation trajectory—with two citations to date—its practical relevance positions him as a key voice in safety-critical robotics. Anchukandan’s research bridges theoretical risk modeling with real-world implementation, offering actionable insights for both academia and industry. His ongoing efforts promise to shape standards for safer, more trustworthy human-robot collaborations.
Research Focus
Key Achievements
Top Papers
- 1