Special session in Generative Foundation Models for Robotics: From Language and Vision to Embodied Action at WCCI 2026

[Erdal Kayacan]

Dear colleagues,

We cordially invite you to submit your paper to the Special Session “Generative Foundation Models for Robotics: From Language and Vision to Embodied Action”, to be held at the 2026 IEEE World Congress on Computational Intelligence (WCCI 2026).

Website: https://wccigenai2026.github.io

This special session aims to bring together recent advances in generative and foundation models and their applications to robotics. Topics of interest include, but are not limited to:

• Diffusion models for robot trajectory planning and control

• Generative adversarial networks for robotic applications

• Flow matching methods for robotic control

• Language-guided robot manipulation and navigation

• Meta-learning for adaptive robotic behaviors

• Multi-task planning and execution

• Transfer learning across robotic domains and environments

• Generative imitation learning from human demonstrations

• Generative design of robot morphologies

• Co-evolution of robot structure and control

• Curriculum learning with generative models

• Constraint-aware generative planning

Organizers:
Erdal Kayacan (Paderborn University, Germany)
Chen Qinyu (Leiden University, The Netherlands)
Konstantinos Alexis (Norwegian University of Science and Technology, Norway)
Guido de Croon (TU Delft, The Netherlands)
Erdi Sayar (Paderborn University, Germany)
Van Huyen Dang (Paderborn University, Germany)
Alper Yegenoglu (Paderborn University, Germany)
Adrian Redder (Paderborn University, Germany)