M. Yunus Seker
Scholar

M. Yunus Seker

Google Scholar ID: H8NkqvQAAAAJ
Carnegie Mellon University
RoboticsRobot LearningRobot ManipulationDeep LearningLearning from Demonstration
Citations & Impact
All-time
Citations
282
 
H-index
6
 
i10-index
6
 
Publications
13
 
Co-authors
15
list available
Resume (English only)
Research Experience
  • Research Assistant, Intelligent Autonomous Manipulation Lab (IAM LAB), Carnegie Mellon University (2022 – present)
  • Research Assistant Intern, Cognitive Developmental Robotics Lab (Nagai LAB), University of Tokyo (2020)
  • Research Assistant, Cognition, Learning and Robotics Lab (Colors LAB), Bogazici University (2017 – 2022)
  • Teaching Assistant, Carnegie Mellon University (2024 – 2025)
  • Teaching Assistant, Bogazici University (2019 – 2020)
Background
  • Ph.D. student at The Robotics Institute, Carnegie Mellon University, advised by Prof. Oliver Kroemer
  • Research focuses on building intelligent robotic systems that can learn complex skills and generalize to new environments with zero to minimal supervision
  • Develops algorithms for robot learning, emphasizing skill acquisition and transfer, action-effect prediction, affordance understanding, and learning from demonstration
  • Particularly interested in integrating robot manipulation with deep learning, perception, foundational models (e.g., LLMs/VLMs), symbolic reasoning, and data-efficient optimization to enable rapid and robust real-world adaptation
  • Aims to bridge the gap between low-level control and high-level reasoning, empowering robots to understand, plan, and act as versatilely and intuitively as humans