Robot prototyping and manufacturing have been done with parts based on traditional machining such as cutting, sheet bending, and die casting. The rapid progress of 3D printing technology in recent years has fundamentally overturned these methodologies. It can enable the development of lighter and higher-performance robots at a lower cost and in a shorter development time. On the other hand, 3D printed materials are lightweight but have low rigidity, and the parts are anisotropic. In this session, we aim to establish a robot design methodology based on 3D printing technology and discuss the basic characteristics of 3D printing, the fastening of parts, and the robot system using these parts.

Robots today are gaining in popularity and complexity. At the same time, their tasks and environments are also increasing in complexity. Recent advances in machine learning have allowed to bridge that gap and enabled robotics to present itself as a practical solution to several real-world problems. The proposed special session aims to promote research focused on, but not limited to, robotics with applications to the environment, construction, forestry, agriculture, mining, subsea, infrastructure, search, and rescue, among others, with emphasis on machine learning applications. Experimental robotics and works possessing both theoretical and practical significance will be promoted.

Robot teleoperation systems are necessary for exploration of disaster sites, inspection, and unmanned construction. To effectively achieve teleoperation tasks, human operators of robots require information about the surrounding environment and the robot itself. In this session, studies on robotic teleoperation are introduced from the aspect of remote visualization systems and sensing technologies that aim to supply in-situ information to operators in real-time.

To significantly improve robotic adaptability to diverse environments, flexible and reconfigurable system integration is crucial. Recent advances include structural modelling of task-environment-robot interactions, co-optimization of morphology and planning, and development of modular hardware. However, practical deployment requires further integration of sensing-based adaptive strategies. This Special Session aims to foster discussion from both theoretical and practical perspectives, focusing on real-world implementation and system integration. We welcome contributions addressing use cases from industry and further real-world challenges, algorithmic advances, and lessons learned from complex system development. The goal is to promote a comprehensive view on reconfigurable robotics for broader applicability in dynamic and uncertain environments.

This Special Session focuses on the integration of collaborative and cognitive robots in modern manufacturing environments, aiming to bridge human-robot interaction with intelligent autonomy. It will explore advances in collaborative robotics for safe, ergonomic, and efficient human-robot cooperation, alongside cognitive intelligence mechanisms enabling perception, decision-making, and adaptation in dynamic industrial contexts. Contributions will address emerging solutions such as machine learning for autonomous behavior, adaptive control, real-time safety, and process optimization. The session aims to foster dialogue between academia and industry, presenting innovations that shape future smart manufacturing ecosystems and Industry 5.0 paradigms through seamless collaboration between humans and intelligent robotic systems.

Recently, the integration of information technology, network technology, and robot technology has been discussed from various points of view. This special session discusses real space service systems that serve various services using IoT and robot technologies in environments such as homes, offices, stores, nursing homes, hospitals, etc. The main topics of interest are practical technology/theory to solve the real problems of the environments.