Mustafa Ersen
Papers
5
Total Citations
98
H-Index
5
About
Mustafa Ersen’s research lies at the intersection of cognitive robotics, autonomous manipulation, and visual world modeling, with a central focus on enabling service robots to perform everyday tasks reliably in human environments. His major contributions include developing cognition-enabled frameworks that allow robots to interpret complex scenes, maintain consistent world models, and learn from execution failures through lifelong experimental learning. Ersen’s work on extracting spatial relations among objects for failure detection and using Inductive Logic Programming for guided planning has advanced the robustness of task execution in cognitive robotics. His most cited paper, “Cognition-Enabled Robot Manipulation in Human Environments” (2017, 47 citations), outlines key requirements and open problems for deploying service robots as companions in home and work settings. With additional influential works on continuous visual world modeling and self-aware scene interpretation, Ersen’s research has collectively garnered over 100 citations, demonstrating significant impact in the robotics community. His achievements include pioneering methods for integrating visual perception with symbolic planning, making robots more adaptive and resilient in dynamic, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Scene Interpretation for Self-Aware Cognitive Robots16 citations · 2014
- 3Continuous Visual World Modeling for Autonomous Robot Manipulation14 citations · 2018
- 4Extracting Spatial Relations Among Objects for Failure Detection12 citations · 2013
- 5Learning Guided Planning for Robust Task Execution in Cognitive Robotics9 citations · 2013