Orkunt Sabuncu

About

Orkunt Sabuncu is a computer scientist whose research sits at the intersection of knowledge representation, reasoning, and robotics, with a particular focus on Answer Set Programming (ASP) as a powerful tool for tackling complex real-world challenges. His work has made notable contributions to the integration of logic-based reasoning into robotic systems, most prominently through his development of ROSoClingo, a ROS package that enables ASP-based robot control, and a subsequent framework integrating ASP into the Robot Operating System (ROS) to enhance autonomous decision-making capabilities. Sabuncu has also been a pioneer in stream reasoning, addressing the growing demands of continuous data processing in domains such as ambient assisted living and dynamic scheduling, where conventional data stream management systems fall short of supporting complex inference tasks. His benchmark work on Ricochet Robots further demonstrates his commitment to advancing ASP evaluation methodologies. More recently, he has explored multi-agent planning in pick-and-delivery scenarios. With cumulative citations across foundational papers in robotics and stream reasoning, Sabuncu's contributions have helped shape how intelligent systems reason about dynamic, sensor-rich environments, making his work highly relevant to researchers in AI, cognitive robotics, and autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Integrating ASP into ROS for Reasoning in Robots

   16 citations · 2015
2. 2
   Ricochet Robots: A Transverse ASP Benchmark

   15 citations · 2013
3. 3
   Answer Set Programming for Stream Reasoning

   10 citations · 2013
4. 4
   Stream Reasoning with Answer Set Programming: Extended Version

   9 citations · 2012
5. 5
   ROSoClingo: A ROS package for ASP-based robot control

   4 citations · 2013
6. 6
   Multi-agent Pick and Delivery with Capacities: Action Planning Vs Path Finding

   2 citations · 2022

Key Collaborators

Contact & Links