In general, kinematically redundant robots have more degrees of freedom than are necessary to perform the required task. Kinematically redundant robots have the potential to be applied in many fields from industrial applications through service tasks to surgical operations. This research theme is closely connected with mechanisms such as snake robots, redundant manipulators, elephant´s trunk robots, continuum robots, soft robots, humanoid robots, surgical robots and others. Considering the kinematic aspects of these mechanisms, they have great ability to be flexible and adaptable to the rough, dangerous, rugged, and inaccessible spaces, where conventional mechanisms fail or cannot be used. Currently, kinematically redundant robots are not yet the part of commercial products and in the vast majority of cases they are used only in laboratories. Although their research began several decades ago, it is a relatively young area of research in which there are still many open scientific issues.
This Research Topic aims to offer a special forum for different research fields of mechanical engineering, control theory, robot control, artificial intelligence, and applied mathematics to present the most recent investigations and developments on kinematically redundant robots. Nowadays, many research scopes of kinematically redundant robots are still open such as acceleration and stability of numerical modeling approaches, optimization of redundant manipulators motion, trajectory and path planning of multilink mechanisms, decreasing of algorithm computing time for the real-time applications and many more. The goal of this Research Topic is to support this scientific area with quality and the latest knowledge.
We seek research papers with theoretical contributions focusing on the design, analysis, modeling, and simulations including valuable results of experiments on kinematically redundant robots. Also review papers that provide a comprehensive view of the fields of this Research Topic are welcome.
Potential topics include but are not limited to:
• Mathematical modeling of kinematically redundant robots
• Advanced control systems and algorithms
• Motion planning and optimization for redundant robots
• Learning algorithms and neural networks for motion planning
• Modeling and control of motion with constraints
• Algorithms focused on real-time control
In general, kinematically redundant robots have more degrees of freedom than are necessary to perform the required task. Kinematically redundant robots have the potential to be applied in many fields from industrial applications through service tasks to surgical operations. This research theme is closely connected with mechanisms such as snake robots, redundant manipulators, elephant´s trunk robots, continuum robots, soft robots, humanoid robots, surgical robots and others. Considering the kinematic aspects of these mechanisms, they have great ability to be flexible and adaptable to the rough, dangerous, rugged, and inaccessible spaces, where conventional mechanisms fail or cannot be used. Currently, kinematically redundant robots are not yet the part of commercial products and in the vast majority of cases they are used only in laboratories. Although their research began several decades ago, it is a relatively young area of research in which there are still many open scientific issues.
This Research Topic aims to offer a special forum for different research fields of mechanical engineering, control theory, robot control, artificial intelligence, and applied mathematics to present the most recent investigations and developments on kinematically redundant robots. Nowadays, many research scopes of kinematically redundant robots are still open such as acceleration and stability of numerical modeling approaches, optimization of redundant manipulators motion, trajectory and path planning of multilink mechanisms, decreasing of algorithm computing time for the real-time applications and many more. The goal of this Research Topic is to support this scientific area with quality and the latest knowledge.
We seek research papers with theoretical contributions focusing on the design, analysis, modeling, and simulations including valuable results of experiments on kinematically redundant robots. Also review papers that provide a comprehensive view of the fields of this Research Topic are welcome.
Potential topics include but are not limited to:
• Mathematical modeling of kinematically redundant robots
• Advanced control systems and algorithms
• Motion planning and optimization for redundant robots
• Learning algorithms and neural networks for motion planning
• Modeling and control of motion with constraints
• Algorithms focused on real-time control
