Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Robotics and control are both research and application domains that have been frequently engineered through the use of interdisciplinary approaches like cybernetics. Cognition is a particular concept of this approach, abstracted from the context of living organisms to that of artificial devices, and is concerned with knowledge acquisition and understanding through thought, experience, and the senses. Cognitive robotics and control refer to knowledge processing as much as knowledge generation from problem understanding, leading to special forms of architectures that enable systems to behave in an autonomous way. The main aim of this book is to highlight emerging applications and address recent breakthroughs in the domain of cognitive robotics and control and related areas. Procedures, algorithms, architectures, and implementations for reasoning, problem solving, or decision making are considered in the domain of robotics and control.

History of engineering & technology --- initial trajectory --- trajectory optimization --- Bézier surface --- robotics --- open FPGAs --- robot control --- surgical robotics --- human–machine interaction --- autonomous guidance --- low-cost platform --- FPGA --- S-curve --- motion control --- SoC --- telemanipulation --- haptics --- machine learning --- gesture recognition --- upper limb rehabilitation robot --- particle swam optimization (PSO) --- artificial bee colony (ABC) --- Ziegler Nichols --- Maximum sensitivity --- ontology --- robot task planning --- knowledge base --- knowledge representation --- industrial collaborative robots --- shared robotic tasks --- physical human–robot interaction --- human intention recognition --- time series classification --- n/a --- Bézier surface --- human-machine interaction --- physical human-robot interaction

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

People with congenital and/or acquired disabilities constitute a great number of dependents today. Robotic platforms to help people with disabilities are being developed with the aim of providing both rehabilitation treatment and assistance to improve their quality of life. A high demand for robotic platforms that provide assistance during rehabilitation is expected because of the health status of the world due to the COVID-19 pandemic. The pandemic has resulted in countries facing major challenges to ensure the health and autonomy of their disabled population. Robotic platforms are necessary to ensure assistance and rehabilitation for disabled people in the current global situation. The capacity of robotic platforms in this area must be continuously improved to benefit the healthcare sector in terms of chronic disease prevention, assistance, and autonomy. For this reason, research about human–robot interaction in these robotic assistance environments must grow and advance because this topic demands sensitive and intelligent robotic platforms that are equipped with complex sensory systems, high handling functionalities, safe control strategies, and intelligent computer vision algorithms. This Special Issue has published eight papers covering recent advances in the field of robotic platforms to assist disabled people in daily or clinical environments. The papers address innovative solutions in this field, including affordable assistive robotics devices, new techniques in computer vision for intelligent and safe human–robot interaction, and advances in mobile manipulators for assistive tasks.

Humanities --- Social interaction --- sensors --- electronic platform --- machine learning --- wearables --- hand motor rehabilitation --- sEMG --- hand pose --- social robot --- physical human-robot interaction --- assistive robotics --- collaborative robots --- brain-machine interfaces --- EEG --- exoskeleton --- motor imagery --- human-robot interaction --- human pose estimation --- robotic rehabilitation --- visually impaired assistance --- navigation system --- knowledge graph --- dialogue system --- NLP --- reasoning --- multimodal interfaces --- robotic exoskeleton --- sensors --- electronic platform --- machine learning --- wearables --- hand motor rehabilitation --- sEMG --- hand pose --- social robot --- physical human-robot interaction --- assistive robotics --- collaborative robots --- brain-machine interfaces --- EEG --- exoskeleton --- motor imagery --- human-robot interaction --- human pose estimation --- robotic rehabilitation --- visually impaired assistance --- navigation system --- knowledge graph --- dialogue system --- NLP --- reasoning --- multimodal interfaces --- robotic exoskeleton

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

People with congenital and/or acquired disabilities constitute a great number of dependents today. Robotic platforms to help people with disabilities are being developed with the aim of providing both rehabilitation treatment and assistance to improve their quality of life. A high demand for robotic platforms that provide assistance during rehabilitation is expected because of the health status of the world due to the COVID-19 pandemic. The pandemic has resulted in countries facing major challenges to ensure the health and autonomy of their disabled population. Robotic platforms are necessary to ensure assistance and rehabilitation for disabled people in the current global situation. The capacity of robotic platforms in this area must be continuously improved to benefit the healthcare sector in terms of chronic disease prevention, assistance, and autonomy. For this reason, research about human–robot interaction in these robotic assistance environments must grow and advance because this topic demands sensitive and intelligent robotic platforms that are equipped with complex sensory systems, high handling functionalities, safe control strategies, and intelligent computer vision algorithms. This Special Issue has published eight papers covering recent advances in the field of robotic platforms to assist disabled people in daily or clinical environments. The papers address innovative solutions in this field, including affordable assistive robotics devices, new techniques in computer vision for intelligent and safe human–robot interaction, and advances in mobile manipulators for assistive tasks.

Humanities --- Social interaction --- sensors --- electronic platform --- machine learning --- wearables --- hand motor rehabilitation --- sEMG --- hand pose --- social robot --- physical human-robot interaction --- assistive robotics --- collaborative robots --- brain–machine interfaces --- EEG --- exoskeleton --- motor imagery --- human–robot interaction --- human pose estimation --- robotic rehabilitation --- visually impaired assistance --- navigation system --- knowledge graph --- dialogue system --- NLP --- reasoning --- multimodal interfaces --- robotic exoskeleton --- n/a --- brain-machine interfaces --- human-robot interaction

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Robotics and control are both research and application domains that have been frequently engineered through the use of interdisciplinary approaches like cybernetics. Cognition is a particular concept of this approach, abstracted from the context of living organisms to that of artificial devices, and is concerned with knowledge acquisition and understanding through thought, experience, and the senses. Cognitive robotics and control refer to knowledge processing as much as knowledge generation from problem understanding, leading to special forms of architectures that enable systems to behave in an autonomous way. The main aim of this book is to highlight emerging applications and address recent breakthroughs in the domain of cognitive robotics and control and related areas. Procedures, algorithms, architectures, and implementations for reasoning, problem solving, or decision making are considered in the domain of robotics and control.

History of engineering & technology --- initial trajectory --- trajectory optimization --- Bézier surface --- robotics --- open FPGAs --- robot control --- surgical robotics --- human-machine interaction --- autonomous guidance --- low-cost platform --- FPGA --- S-curve --- motion control --- SoC --- telemanipulation --- haptics --- machine learning --- gesture recognition --- upper limb rehabilitation robot --- particle swam optimization (PSO) --- artificial bee colony (ABC) --- Ziegler Nichols --- Maximum sensitivity --- ontology --- robot task planning --- knowledge base --- knowledge representation --- industrial collaborative robots --- shared robotic tasks --- physical human-robot interaction --- human intention recognition --- time series classification --- initial trajectory --- trajectory optimization --- Bézier surface --- robotics --- open FPGAs --- robot control --- surgical robotics --- human-machine interaction --- autonomous guidance --- low-cost platform --- FPGA --- S-curve --- motion control --- SoC --- telemanipulation --- haptics --- machine learning --- gesture recognition --- upper limb rehabilitation robot --- particle swam optimization (PSO) --- artificial bee colony (ABC) --- Ziegler Nichols --- Maximum sensitivity --- ontology --- robot task planning --- knowledge base --- knowledge representation --- industrial collaborative robots --- shared robotic tasks --- physical human-robot interaction --- human intention recognition --- time series classification