World models and predictive coding for cognitive and developmental robotics: Frontiers and challenges
Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …
and learn skills continuously is the ultimate achievement envisioned in cognitive and …
A survey of behavioral models for social robots
The cooperation between humans and robots is becoming increasingly important in our
society. Consequently, there is a growing interest in the development of models that can …
society. Consequently, there is a growing interest in the development of models that can …
Computational models of affordance in robotics: a taxonomy and systematic classification
JJ Gibson's concept of affordance, one of the central pillars of ecological psychology, is a
truly remarkable idea that provides a concise theory of animal perception predicated on …
truly remarkable idea that provides a concise theory of animal perception predicated on …
An overview of the distributed integrated cognition affect and reflection diarc architecture
DIARC has been under development for over 15 years. Different from other cognitive
architectures like SOAR or ACT-R, DIARC is an intrinsically component-based distributed …
architectures like SOAR or ACT-R, DIARC is an intrinsically component-based distributed …
A survey of knowledge-based sequential decision-making under uncertainty
S Zhang, M Sridharan - AI Magazine, 2022 - ojs.aaai.org
Abstract Reasoning with declarative knowledge (RDK) and sequential decision-making
(SDM) are two key research areas in artificial intelligence. RDK methods reason with …
(SDM) are two key research areas in artificial intelligence. RDK methods reason with …
Integrating non-monotonic logical reasoning and inductive learning with deep learning for explainable visual question answering
H Riley, M Sridharan - Frontiers in Robotics and AI, 2019 - frontiersin.org
State of the art algorithms for many pattern recognition problems rely on data-driven deep
network models. Training these models requires a large labeled dataset and considerable …
network models. Training these models requires a large labeled dataset and considerable …
The state of framework development for implementing reasoning mechanisms in smart cyber-physical systems: A literature review
Abstract Smart CPSs (S-CPSs) have been evolving beyond what was identified by the
traditional definitions of CPSs. The objective of our research is to investigate the concepts …
traditional definitions of CPSs. The objective of our research is to investigate the concepts …
When exceptions are the norm: Exploring the role of consent in hri
HRI researchers have made major strides in develo** robotic architectures that are
capable of reading a limited set of social cues and producing behaviors that enhance their …
capable of reading a limited set of social cues and producing behaviors that enhance their …
That's mine! learning ownership relations and norms for robots
The ability for autonomous agents to learn and conform to human norms is crucial for their
safety and effectiveness in social environments. While recent work has led to frameworks for …
safety and effectiveness in social environments. While recent work has led to frameworks for …
On Affordances and their Entailment for Autonomous Robotic Systems
In robotics, affordances are used as a theoretical framework for guiding a robot's interaction
with the objects within its environment. In particular, affordances are formalized in order to …
with the objects within its environment. In particular, affordances are formalized in order to …