The current state of machine learning approaches, smart sensors, high-performance computing units, novel controllers and high-dynamic actuators, enable robotics to reach a new horizon as cornerstones within the production systems of industry 4.0. Numerous intelligent robot solutions are already available on the market and the demand is increasing massively, especially by handiwork and contract manufacturing. Hence, the system complexity is increasing rapidly. On one hand, the complexity of the single-element itself (sensor, robot, controller, software etc.) is increasing. On the other hand, the planning effort, commissioning and integration time and the reconfiguration costs of the whole robot system should be optimized and they should be economically suitable even for small production-series.
The aims of this Research Topic are:
1. To collect the most innovative and scientific works, which could push forward adaptive robotics within scalable and high-dynamic production environments
2. To present various studies and joint- research projects for clarifying the uncertainties about planning, safety, human factors and machine learning of such intelligent solutions
3. To share and evaluate some successful stories/ industrial projects in scientific way, including the challenges, innovation and lessons-learned.
This Research Topic aims to cover:
1. Technical & Safety approaches, which focus on the new generation of robot control, innovative vision systems, AI/ML, enhanced safety functions, real-time path planning, collision avoidance, ISO-Standard, safety regulation and system reliability.
2. Planning, Simulation, virtual commissioning and digital twins, which focus on evaluation strategies, benchmarking methods and software tools of intelligent robot systems in all life cycle for scalable and flexible production systems
3. Human factors, which cover the ergonomics, acceptance, trust, interaction strategies and the optimal collaboration of humans with such intelligent production systems.
The current state of machine learning approaches, smart sensors, high-performance computing units, novel controllers and high-dynamic actuators, enable robotics to reach a new horizon as cornerstones within the production systems of industry 4.0. Numerous intelligent robot solutions are already available on the market and the demand is increasing massively, especially by handiwork and contract manufacturing. Hence, the system complexity is increasing rapidly. On one hand, the complexity of the single-element itself (sensor, robot, controller, software etc.) is increasing. On the other hand, the planning effort, commissioning and integration time and the reconfiguration costs of the whole robot system should be optimized and they should be economically suitable even for small production-series.
The aims of this Research Topic are:
1. To collect the most innovative and scientific works, which could push forward adaptive robotics within scalable and high-dynamic production environments
2. To present various studies and joint- research projects for clarifying the uncertainties about planning, safety, human factors and machine learning of such intelligent solutions
3. To share and evaluate some successful stories/ industrial projects in scientific way, including the challenges, innovation and lessons-learned.
This Research Topic aims to cover:
1. Technical & Safety approaches, which focus on the new generation of robot control, innovative vision systems, AI/ML, enhanced safety functions, real-time path planning, collision avoidance, ISO-Standard, safety regulation and system reliability.
2. Planning, Simulation, virtual commissioning and digital twins, which focus on evaluation strategies, benchmarking methods and software tools of intelligent robot systems in all life cycle for scalable and flexible production systems
3. Human factors, which cover the ergonomics, acceptance, trust, interaction strategies and the optimal collaboration of humans with such intelligent production systems.
