Tesfamichael Marikos Hagos
Papers
2
Total Citations
6
H-Index
2
About
Tesfamichael Marikos Hagos is a researcher advancing the field of robotic manipulation through the study of compliant motions. His work focuses on enabling robots to perform tasks that require physical interaction with uncertain environments, such as assembly or insertion. Hagos’s major contribution lies in developing a framework for segmenting complex compliant-motion tasks into distinct phases, learning a motion primitive for each phase, and then sequencing these primitives online to reproduce the entire task. This approach allows robots to adapt their behavior in real time based on sensor feedback, effectively “probing” the environment to achieve success. His most-cited paper, “Segmenting and Sequencing of Compliant Motions” (2018), has garnered 4 citations, demonstrating its foundational role in this niche area. By bridging task decomposition with adaptive control, Hagos’s work provides a practical pathway for robots to handle variability in real-world settings, making his research valuable for students and engineers interested in dexterous manipulation and learning from demonstration.
Research Focus
Key Achievements
Top Papers
- 1Segmenting and Sequencing of Compliant Motions4 citations · 2018
- 2Segmenting and Sequencing of Compliant Motions2 citations · 2018