11 citations · 25 across the 8 of their papers we have counts for
6 papers · 1 filter
RAMPA: Robotic Augmented Reality for Machine Programming by DemonstrAtion
Fatih Dogangun, Serdar Bahar, Yigit Yildirim +3
This paper introduces Robotic Augmented Reality for Machine Programming by Demonstration (RAMPA), the first ML-integrated, XR-driven end-to-end robotic system, allowing training an…
Neuro-Symbolic Skill Discovery for Conditional Multi-Level Planning
Hakan Aktas, Yigit Yildirim, Ahmet Firat Gamsiz +3
This paper proposes a novel learning architecture for acquiring generalizable high-level symbolic skills from a few unlabeled low-level skill trajectory demonstrations. The archite…
Bidirectional Human Interactive AI Framework for Social Robot Navigation
Tuba Girgin, Emre Girgin, Yigit Yildirim +2
Trustworthiness is a crucial concept in the context of human-robot interaction. Cooperative robots must be transparent regarding their decision-making process, especially when oper…
Learning Early Social Maneuvers for Enhanced Social Navigation
Yigit Yildirim, Mehmet Suzer, Emre Ugur
Socially compliant navigation is an integral part of safety features in Human-Robot Interaction. Traditional approaches to mobile navigation prioritize physical aspects, such as ef…
Learning Social Navigation from Demonstrations with Deep Neural Networks
Yigit Yildirim, Emre Ugur
Traditional path-planning techniques treat humans as obstacles. This has changed since robots started to enter human environments. On modern robots, social navigation has become an…
Conditional Neural Expert Processes for Learning Movement Primitives from Demonstration
Yigit Yildirim, Emre Ugur
Learning from Demonstration (LfD) is a widely used technique for skill acquisition in robotics. However, demonstrations of the same skill may exhibit significant variances, or lear…