Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Reinforcement learning in robotic applications: a comprehensive survey
In recent trends, artificial intelligence (AI) is used for the creation of complex automated
control systems. Still, researchers are trying to make a completely autonomous system that …
control systems. Still, researchers are trying to make a completely autonomous system that …
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 …
A survey on interactive reinforcement learning: Design principles and open challenges
Interactive reinforcement learning (RL) has been successfully used in various applications in
different fields, which has also motivated HCI researchers to contribute in this area. In this …
different fields, which has also motivated HCI researchers to contribute in this area. In this …
One-shot open affordance learning with foundation models
Abstract We introduce One-shot Open Affordance Learning (OOAL) where a model is trained
with just one example per base object category but is expected to identify novel objects and …
with just one example per base object category but is expected to identify novel objects and …
Deep affordance foresight: Planning through what can be done in the future
Planning in realistic environments requires searching in large planning spaces. Affordances
are a powerful concept to simplify this search, because they model what actions can be …
are a powerful concept to simplify this search, because they model what actions can be …
What can I do here? A theory of affordances in reinforcement learning
Reinforcement learning algorithms usually assume that all actions are always available to
an agent. However, both people and animals understand the general link between the …
an agent. However, both people and animals understand the general link between the …
Continual learning for affective robotics: Why, what and how?
Creating and sustaining closed-loop dynamic and social interactions with humans require
robots to continually adapt towards their users' behaviours, their affective states and moods …
robots to continually adapt towards their users' behaviours, their affective states and moods …
Introducing CARESSER: A framework for in situ learning robot social assistance from expert knowledge and demonstrations
Socially assistive robots have the potential to augment and enhance therapist's
effectiveness in repetitive tasks such as cognitive therapies. However, their contribution has …
effectiveness in repetitive tasks such as cognitive therapies. However, their contribution has …
Control strategies for cleaning robots in domestic applications: A comprehensive review
Service robots are built and developed for various applications to support humans as
companion, caretaker, or domestic support. As the number of elderly people grows, service …
companion, caretaker, or domestic support. As the number of elderly people grows, service …
Recent advances of deep robotic affordance learning: a reinforcement learning perspective
As a popular concept proposed in the field of psychology, affordance has been regarded as
one of the important abilities that enable humans to understand and interact with the …
one of the important abilities that enable humans to understand and interact with the …