Hyuckchul Jung

About

Hyuckchul Jung is a leading researcher in human-agent-robot teamwork, ontology-based policy management, and semantic parsing for robotic systems. His most influential contribution is the KAoS policy management framework, which uses semantically rich ontological representation and reasoning to specify, analyze, deconflict, and enforce policies—a foundational approach that has garnered 81 citations. Jung’s work on coordination in human-agent-robot teams, notably detailed in “From Tools to Teammates” (34 citations) and “Coordination in Human-Agent-Robot Teamwork” (28 citations), has shaped how autonomous systems collaborate with humans in complex field operations. He also advanced adjustable autonomy, clarifying its multi-dimensional nature, and developed the Tag&Parse approach to semantic parsing for robot spatial commands, enabling robots to understand natural language instructions through statistical tagging and parsing. With a career spanning foundational frameworks to practical dialogue-based multi-robot control, Jung’s research bridges the gap between theoretical autonomy and real-world human-robot collaboration, making him a key figure in the evolution of intelligent, cooperative robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   New Developments in Ontology-Based Policy Management: Increasing the Practicality and Comprehensiveness of KAoS

   81 citations · 2008
2. 2
   From Tools to Teammates: Joint Activity in Human-Agent-Robot Teams

   34 citations · 2009
3. 3
   Coordination in Human-Agent-Robot Teamwork

   28 citations · 2008
4. 4
   Kaa

   15 citations · 2005
5. 5
   A Dialogue-Based Approach to Multi-Robot Team Control

   14 citations · 2005
6. 6
   ATandT: The TagandParse Approach to Semantic Parsing of Robot Spatial Commands

   3 citations · 2014

Key Collaborators

Contact & Links