Add to ORKGEngineers have long used control systems utilizing models and feedback loops to control real-world systems. Limitations of model-based control led to a generation of intelligent control techniques such as adaptive and fuzzy control. Human brain, on the other hand, is known to process a variety of inputs in parallel, ignore distractions to focus on the task in hand. This process, known as cognitive control in psychology, is unique to humans and some higher-class animals. We are interested in implementing such cognitive control functionality in robots. This paper tries to answer the following question: How could cognitive control functionality be implemented in HAM-inspired robots
Contains fulltext : 225927.pdf (Publisher’s version ) (Closed access)Machine learn...
Cognitive systems are able to monitor and analyze complex processes, which also provides them with t...
For many centuries, engineers were building upon mathematics and natural science principles from mec...
Engineers have long used control systems utilizing models and feedback loops to control real-world s...
This chapter focuses on the concept of cognitive control in robotics and how it is linked to decisio...
Abstract: Cognitive control is a new method for more human like interactive control of autonomous wo...
High performance robot arms are faster, more accurate, and stronger than humans. Yet many manipulat...
A Human-Machine Interaction (HMI) refers to a mechanism to support the direct interactions of humans...
In cognitive science, modelling has many useful roles, one of which is to inspire attempts to realis...
This paper describes how some mechanisms underlying adaptive behaviors in animals and men may be emp...
Abstract — The common approach for training robots is to expose them to different environmental scen...
Due to the world’s rapidly growing elderly population, dementia is becoming increasingly prevalent. ...
Modeling cognitive control is a major issue in robot control, and it is about deciding when a task c...
Recent experiments have indicated the possibility to use the brain electrical activity to directly c...
Using robots as models of cognitive behaviour has a long tradition in robotics. Parallel to the hist...
Contains fulltext : 225927.pdf (Publisher’s version ) (Closed access)Machine learn...
Cognitive systems are able to monitor and analyze complex processes, which also provides them with t...
For many centuries, engineers were building upon mathematics and natural science principles from mec...
Engineers have long used control systems utilizing models and feedback loops to control real-world s...
This chapter focuses on the concept of cognitive control in robotics and how it is linked to decisio...
Abstract: Cognitive control is a new method for more human like interactive control of autonomous wo...
High performance robot arms are faster, more accurate, and stronger than humans. Yet many manipulat...
A Human-Machine Interaction (HMI) refers to a mechanism to support the direct interactions of humans...
In cognitive science, modelling has many useful roles, one of which is to inspire attempts to realis...
This paper describes how some mechanisms underlying adaptive behaviors in animals and men may be emp...
Abstract — The common approach for training robots is to expose them to different environmental scen...
Due to the world’s rapidly growing elderly population, dementia is becoming increasingly prevalent. ...
Modeling cognitive control is a major issue in robot control, and it is about deciding when a task c...
Recent experiments have indicated the possibility to use the brain electrical activity to directly c...
Using robots as models of cognitive behaviour has a long tradition in robotics. Parallel to the hist...
Contains fulltext : 225927.pdf (Publisher’s version ) (Closed access)Machine learn...
Cognitive systems are able to monitor and analyze complex processes, which also provides them with t...
For many centuries, engineers were building upon mathematics and natural science principles from mec...