RoboCup 2026 Symposium
The RoboCup 2026 Symposium is the main scientific forum of RoboCup, bringing together researchers and practitioners from around the world to present and discuss recent advances in robotics and artificial intelligence.
The symposium is co-located with RoboCup 2026, fostering close interaction between cutting-edge research and real-world robotic competitions.
Venue
The RoboCup 2026 Symposium will be held in Incheon, Republic of Korea, in conjunction with RoboCup 2026.
The symposium venue provides participants with direct access to RoboCup competitions, exhibitions, and related events, offering a unique environment for exchange between academia and practice.
Location:
Songdo ConvensiA, 123, Central-ro, Yeonsu-gu, Incheon, Republic of Korea
Call for Papers
Templates and Submission
Information regarding possible special tracks will be announced if applicable.
All papers will be peer-reviewed and evaluated by members of the Program Committee.
The proceedings of the RoboCup 2026 Symposium will be published and archived within the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series by Springer-Verlag after the conference.
Submissions are limited to 12 pages including references. Papers should be formatted according to the Springer LNCS/LNAI author guidelines:
Paper submission link: To be announced
After paper acceptance, authors who require an invitation letter for visa applications will be able to find further information on this page.(Details to be announced)
Conference Topics
Conference topics of interest include, but are not limited to, the following areas:
Robot Hardware and Software
Mobile robotics
Humanoid robotics
Sensors and actuators
Embedded and mobile devices
Robot construction and new materials
Robot system integration
Robot software architectures
Robot programming environments and languages
Real-time and concurrent programming
Robot simulators
Sim2Real learning
Perception and Action
3D perception
Distributed sensor integration
Sensor noise filtering
Real-time image processing and pattern recognition
Motion and sensor models
Sensory-motor control
Robot kinematics and dynamics
High-dimensional motion control
Robot Cognition and Learning
World modelling and knowledge representation
Learning from demonstration and imitation
Localisation, navigation, and mapping
Planning and reasoning
Decision making under uncertainty
Neural systems and deep learning
Complex motor skill acquisition
Reinforcement learning and optimisation
Motion and sensor model learning
Human–Robot Interaction
Robot social intelligence
Fluency of interaction
Speech synthesis and natural language generation
Natural language recognition
Explainable robot behaviours
Emotion recognition and reaction
Understanding human intent and behaviour
Safety, security, and dependability
Enabling humans to predict robot behaviour
Multi-Robot Systems
Team coordination methods
Communication protocols
Learning and adaptive systems
Teamwork and heterogeneous agents
Dynamic resource allocation
Adjustable autonomy
Education and Edutainment
Robotics and artificial intelligence education
Educational robotics
Robot kits and programming tools
Robotic entertainment
Applications and Benchmarking
Search and rescue robots
Robot surveillance, service, and social robots
Robots at home, at work, and in public spaces
Robots in real-world environments
Performance metrics and benchmarking
Human–robot interaction in applied settings
