[Meetings] Call for Papers @ IROS Workshop - LeaPRiDE: Learning, Planning, and Reasoning in,Dynamic Environments

[Puze Liu]

Dear roboticists,

We invite submissions to the LeaPRiDE workshop, to be held at IROS 2025 in Hangzhou, China.

LeaPRiDE: Learning, Planning, and Reasoning in Dynamic Environments 

• Website: https://leapride.robot-learning.net 
• Deadline: 22 September 2025, 23:59 AoE
• Workshop Date: 20 October 2025
• Submission Link: https://openreview.net/group?id=IEEE.org/IROS/2025/Workshop/LEAPRIDE

The workshop contains a broad spectrum of research topics encountered in dynamic environments, including but not limited to:

• Learning frameworks for developing robust and adaptable policies in ever-changing environments.
• Data augmentation techniques to increase the diversity and realism of training datasets for dynamic scenarios.
• Simulations and world models to generate varied and complex dynamic environments for training and evaluation.
• Fast and reactive motion planning algorithms for real-time adaptation to environmental changes and disturbances.
• Techniques for smooth, agile, and safe robot motions under high-speed and unpredictable conditions.
• Task and behavior abstractions for scalable high-level planning in dynamic, multi-agent environments.
• Hierarchical policy architectures for combining high-level decision-making with reactive low-level control.
• Intention inference methods for anticipating human actions or coordinating with other robots in collaborative tasks.
• Frameworks for integrating Large Language Models (LLMs) into robotic systems while preserving low-latency, reactive control.
• Reasoning methods to improve explainability, interpretability, and robustness in unforeseen scenarios.
• Benchmarks and standardized tasks for evaluating robustness, reactivity, and safety in dynamic environments.

We have an amazing lineups of Invited Speakers:

• Dana Kulic (Monash University) 
• Pulkit Agrawal (MIT) 
• David Hsu (National University Singapore) 
• Markus Wulfmeier (Google DeepMind) 
• Bin He (Tongji University) 
• Yoonchang Sung (Nanyang Technological University)

The workshop will feature invited talks, contributed papers, spotlight talks, posters, and interactive discussions. 
Researchers are encouraged to submit extended abstracts or short papers (up to 4 pages excluding references).

Join us in Hangzhou to explore how learning, planning, and reasoning can come together to power the next generation of intelligent systems.

Please contact Puze Liu (puze at robot-learning dot de) if you have any questions.