Contribute to the Workshop

Overview

We invite researchers and practitioners to submit contributions related to LLM-augmented robot learning, human-guided robot planning, embodied AI, and interactive human-robot systems. The workshop welcomes both theoretical and applied work, including early-stage ideas, system demonstrations, benchmark studies, and position papers.

Topics of Interest

• Large language models for robot planning and reasoning
• Human-in-the-loop reinforcement learning and imitation learning
• Learning from human feedback, correction, and preference
• Task and motion planning with language-based priors
• Multimodal grounding for embodied agents
• Interactive policy learning and shared autonomy
• Safe and trustworthy LLM-based robot decision-making
• Evaluation protocols for human-LLM-robot systems
• Applications in service robots, social robots, domestic robots, assistive robotics, and industrial robotics

Submission Guidelines

Authors should submit full papers in English through the ICRL conference submission system. Manuscripts should be original, unpublished, and prepared using the official ICRL templates.

• Submission type: Full paper
• Page limit: 5-7 single-column pages recommended
• Template: ICRL Word / LaTeX templates
• Submission link: Conference Submission System

Important Dates

Contact

For questions about submissions or participation, please contact the workshop organizers.

Email: icrl2026@163.com