Shared Challenges in Human-Centered and Resilient Robotic Autonomy 

About This Workshop

Robots are increasingly expected to perform complex tasks in homes, factories, and disaster sites, yet these diverse domains share many fundamental challenges. Robust autonomy in dynamic and uncertain environments, natural interaction with non-expert users, perception in cluttered or degraded settings, and manipulation of varied objects remain open problems. Recent progress in artificial intelligence and learning further raises opportunities for adaptive decision-making and transfer across domains, while safety, ethics, and benchmarking continue to be critical for responsible deployment.

This workshop will convene researchers from service, industrial, and disaster robotics to discuss cross-cutting solutions and transferable technologies. Topics include navigation and autonomy in real-world settings, human–robot interaction, multimodal perception, mobile manipulation, machine learning for adaptation, and methodologies for safety and evaluation. By fostering dialogue across traditionally separate communities, the workshop aims to identify unifying principles and shared roadmaps toward resilient, human-centered robotic systems capable of addressing everyday needs as well as extreme scenarios.