Cognitive robotics
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Hybrid-augmented intelligence: collaboration and cognition Open
The long-term goal of artificial intelligence (AI) is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems that humans are facing, n…
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ChatGPT for Robotics: Design Principles and Model Abilities Open
This paper presents an experimental study regarding the use of OpenAI’s ChatGPT for robotics applications. We outline a strategy that combines design principles for prompt engineering and the creation of a high-level function library which…
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Developmental Robotics: From Babies to Robots Open
Developmental robotics is a collaborative and interdisciplinary approach to robotics that is directly inspired by the developmental principles and mechanisms observed in children’s cognitive development. It builds on the idea that the robo…
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Embodied artificial agents for understanding human social cognition Open
In this paper, we propose that experimental protocols involving artificial agents, in particular the embodied humanoid robots, provide insightful information regarding social cognitive mechanisms in the human brain. Using artificial agents…
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Few believe the world is flat: How embodiment is changing the scientific understanding of cognition. Open
Science has changed many of our dearly held and commonsensical (but incorrect) beliefs. For example, few still believe the world is flat, and few still believe the sun orbits the earth. Few still believe humans are unrelated to the rest of…
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An architecture for ethical robots inspired by the simulation theory of cognition Open
The expanding ability of robots to take unsupervised decisions renders it imperative that mechanisms are in place to guarantee the safety of their behaviour. Moreover, intelligent autonomous robots should be more than safe; arguably they s…
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Embodied and Enactive Approaches to Cognition Open
This Element discusses contemporary theories of embodied cognition, including what has been termed the '4Es' (embodied, embedded, extended and enactive cognition). It examines diverse approaches to questions about the nature of the mind, t…
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Deep Reinforcement Learning for Soft, Flexible Robots: Brief Review with Impending Challenges Open
The increasing trend of studying the innate softness of robotic structures and amalgamating it with the benefits of the extensive developments in the field of embodied intelligence has led to the sprouting of a relatively new yet rewarding…
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Embodied cognition and STEM learning: overview of a topical collection in CR:PI Open
Embodied learning approaches emphasize the use of action to support pedagogical goals. A specific version of embodied learning posits an action-to-abstraction transition supported by gesture, sketching, and analogical mapping. These tools …
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The burden of embodied cognition. Open
The thesis of embodied cognition has developed as an alternative to the view that cognition is mediated, at least in part, by symbolic representations. A useful testing ground for the embodied cognition hypothesis is the representation of …
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Knowing the Meaning of a Word by the Linguistic and Perceptual Company It Keeps Open
Debates on meaning and cognition suggest that an embodied cognition account is exclusive of a symbolic cognition account. Decades of research in the cognitive sciences have, however, shown that these accounts are not at all mutually exclus…
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ChatGPT for Robotics: Design Principles and Model Abilities Open
This paper presents an experimental study regarding the use of OpenAI's ChatGPT for robotics applications. We outline a strategy that combines design principles for prompt engineering and the creation of a high-level function library which…
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Measuring Cognitive Load in Embodied Learning Settings Open
In recent years, research on embodied cognition has inspired a number of studies on multimedia learning and instructional psychology. However, in contrast to traditional research on education and multimedia learning, studies on embodied le…
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A Systematic Review of Robotic Rehabilitation for Cognitive Training Open
A large and increasing number of people around the world experience cognitive disability. Rehabilitation robotics has provided promising training and assistance approaches to mitigate cognitive deficits. In this article, we carried out a s…
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From Industry 4.0 to Robotics 4.0 - A Conceptual Framework for Collaborative and Intelligent Robotic Systems Open
This work would like to re-visit the roles of collaborative and intelligent robotic system and its enabling technologies including ROS and ROS2, integrated drive system, robotic sensors, horizontal integration of a robotic network, human-r…
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Staged Development of Robot Skills: Behavior Formation, Affordance Learning and Imitation with Motionese Open
Inspired by infant development, we propose a three staged developmental framework for an anthropomorphic robot manipulator. In the first stage, the robot is initialized with a basic reach-and-enclose-on-contact movement capability, and dis…
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Varieties of Artifacts: Embodied, Perceptual, Cognitive, and Affective Open
The primary goal of this essay is to provide a comprehensive overview and analysis of the various relations between material artifacts and the embodied mind. A secondary goal of this essay is to identify some of the trends in the design an…
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Experiments in Artificial Theory of Mind: From Safety to Story-Telling Open
Theory of mind is the term given by philosophers and psychologists for the ability to form a predictive model of self and others. In this paper we focus on synthetic models of theory of mind. We contend firstly that such models-especially …
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From Babies to Robots: The Contribution of Developmental Robotics to Developmental Psychology Open
The latest developments in artificial intelligence (AI) and machine learning, and the parallel advances in robotics, have contributed recently to a shift in the scientific approach to modeling human intelligence. These innovations, accompa…
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iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks Open
Recent research in embodied AI has been boosted by the use of simulation environments to develop and train robot learning approaches. However, the use of simulation has skewed the attention to tasks that only require what robotics simulato…
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AI Challenges in Human-Robot Cognitive Teaming Open
Among the many anticipated roles for robots in the future is that of being a human teammate. Aside from all the technological hurdles that have to be overcome with respect to hardware and control to make robots fit to work with humans, the…
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Embodied Cognition With and Without Mental Representations: The Case of Embodied Choices in Sports Open
In this conceptual analysis contribution to the special issue on radical embodied cognition, we discuss how embodied cognition can exist with and without representations. We explore this concept through the lens of judgment and decision-ma…
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SEAI: Social Emotional Artificial Intelligence Based on Damasio’s Theory of Mind Open
With the increase in device integration level and the growth in complexity of Integrated circuits, small delay and low power dissipation become important parameters as these increases performance and portability. Battery storage is limited…
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World models and predictive coding for cognitive and developmental robotics: frontiers and challenges Open
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SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model Open
To realize human-like robot intelligence, a large-scale cognitive architecture is required for robots to understand their environment through a variety of sensors with which they are equipped. In this paper, we propose a novel framework na…
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Evolutionary convergence and biologically embodied cognition Open
The study of evolutionary patterns of cognitive convergence would be greatly helped by a clear demarcation of cognition. Cognition is often used as an equivalent of mind, making it difficult to pin down empirically or to apply it confident…
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Survey on frontiers of language and robotics Open
The understanding and acquisition of a language in a real-world environment is an important task for future robotics services. Natural language processing and cognitive robotics have both been focusing on the problem for decades using mach…
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Movement Matters Open
Experts translate the latest findings on embodied cognition from neuroscience, psychology, and cognitive science to inform teaching and learning pedagogy. Embodied cognition represents a radical shift in conceptualizing cognitive processes…
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Model-Based Approaches to Active Perception and Control Open
There is an on-going debate in cognitive (neuro) science and philosophy between classical cognitive theory and embodied, embedded, extended, and enactive (“4-Es”) views of cognition—a family of theories that emphasize the role of the body …
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Why Are There Developmental Stages in Language Learning? A Developmental Robotics Model of Language Development Open
Most theories of learning would predict a gradual acquisition and refinement of skills as learning progresses, and while some highlight exponential growth, this fails to explain why natural cognitive development typically progresses in sta…