5 papers · 1 filter
Macro-Operator Generation and Predicate Selection for TAMP Operator Learning
Can Emir Bora, Emre Ugur
Creating symbolic operators by hand is one of the main bottlenecks in deploying Task and Motion Planning systems (TAMP). Recent works show that these operators can instead be learn…
Joint Discovery of Object and Action Symbols through Effect Prediction for Robotic Manipulation Planning
Burcu Kilic, Berke Kartal, Fatih Dogangun +2
To perform complex manipulation planning, autonomous robots are required to abstract continuous, high-dimensional sensorimotor interactions into discrete object and action represen…
Trajectory Learning with Graph Representations for Social Robot Navigation
Berke Kartal, Burcu Kilic, Yigit Yildirim +1
Autonomous mobile robots are expected to exhibit socially compliant navigation for minimizing pedestrian disturbance. While capturing social interactions and incorporating pedestri…
Predictability-Based Curiosity-Guided Action Symbol Discovery
Burcu Kilic, Alper Ahmetoglu, Emre Ugur
Discovering symbolic representations for skills is essential for abstract reasoning and efficient planning in robotics. Previous neuro-symbolic robotic studies mostly focused on di…
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…