I am a second-year Computer Science PhD student Inquisitive Robotics Lab at Yale University.
My research interest lies in Human-Robot Interaction, specifically in Human-Robot Collaboration and Robots learning from humans.
I am driven by the pursuit of research that facilitates seamless collaboration between humans and robots by equipping robots with the ability to learn from human interactions and effectively reason about their tasks.
While we have made significant advancements in AI systems capable of interpreting and reasoning over human instructions, the challenge lies in seamlessly integrating these capabilities into robotic systems.
I firmly believe that a pivotal approach towards achieving this goal is enabling robots to engage in interactive learning from humans, all while possessing the awareness of their own limitations, thus guiding their interactions with humans.
Recent Work
Alchemist: LLM-Aided End-User Development of Robot Applications
Ulas Berk Karli, Juo-Tung Chen, Victor Nikhil Antony, and Chien-Ming Huang
Conference: The Proceedings of 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI'24) | Acceptance Rate 24.9%
“What If It Is Wrong”: Effects of Power Dynamics and Trust Repair Strategy on Trust and Compliance in HRI
Ulas Berk Karli*, Shiye Cao*, and Chien-Ming Huang
Conference: The Proceedings of 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI'23) | Acceptance Rate 25.3% | *equal contribution
Resolving Ambiguities in LLM-enabled Human-Robot Collaboration
Ulas Berk Karli and Tesca Fitzgeralg
Workshop: 2nd Workshop on Language and Robot Learning (LangRob): Language as Grounding at 2023 Conference on Robot Learning (CoRL'23)
Get In Touch
Please don't hesitate to contact me about my work and potential collaborations.