Industry 4.0 represents a global change towards interconnectivity, digitization and automation to respond to evolutionary demand from modern industry. Robotics has become a fundamental component of industry technologies 4.0, finding applications through manufacturing, storage, retail, transport, logistics and various industrial processes. The integration of robotics aims to improve operational efficiency, flexibility and productivity. With continuous digital transformation, the increase in product varieties and consumer volume requirements and the adoption of intelligent manufacturing and logistics practices, there is an urgent need for autonomous robots in industry technologies 4.0. These robots must navigate in complex environments, enter and manipulate various objects in size, use effective end tools, integrate transparently into automated workflows, learn and generalize skills and collaborate safely with humans. In recent times, mobile manipulation has become a crucial aspect, writing static handling and navigation and widening the scope of the tasks achievable in various contexts.
This research subject is dedicated to the exploration and presentation of the latest innovations in terms of mobility, manipulation and mobile manipulation, specially adapted to flexible and collaborative automation in various industrial sectors. We welcome original research, case studies and magazines, in particular those with experimental results. Although we focus on articles with real world data, studies based on simulation will also be taken into account.
The scope of this collection includes a wide range of subjects, including but
Not limited to:
● Advanced locomotion techniques (paw, wheel, air) for industrial environments.
● Flexible navigation strategies.
● Entering and manipulating objects in congested environments.
● Active perception in unexplored and partially observable parameters.
● Bi-manual manipulation techniques.
● Mobile handling methodologies.
● IA embodied approaches.
● Active learning, skills acquisition and generalization in robotic systems.
● Control of architectures and end -to -end learning models (visual action).
● Multimodal detection (vision, tactile, force) for improved adaptability.
● New final tools designed for assembly and industrial operations.
● Adaptive hands / influenza for polled object handling taxes.
● Strategic deployment of precise and imprecise tasks (for example, Pic and Place, in contact and complex operations).
● Hierarchical abstractions in robotic planning.
● Long-horizon planning and reasoning capacities.
● Methodologies of interaction by the robot man.
● Approaches focused on the automation of production.