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[HTML][HTML] A survey on the design and evolution of social robots—Past, present and future
Despite the relatively young age of Human–Robot Interaction (HRI) as a field, there is a
large volume of research on advances in robot hardware, software and behavior. The goal …
large volume of research on advances in robot hardware, software and behavior. The goal …
System transparency in shared autonomy: A mini review
What does transparency mean in a shared autonomy framework? Different ways of
understanding system transparency in human-robot interaction can be found in the state of …
understanding system transparency in human-robot interaction can be found in the state of …
Val: Interactive task learning with gpt dialog parsing
Machine learning often requires millions of examples to produce static, black-box models. In
contrast, interactive task learning (ITL) emphasizes incremental knowledge acquisition from …
contrast, interactive task learning (ITL) emphasizes incremental knowledge acquisition from …
Learning and executing re-usable behaviour trees from natural language instruction
Domestic and service robots have the potential to transform industries such as health care
and small-scale manufacturing, as well as the homes in which we live. However, due to the …
and small-scale manufacturing, as well as the homes in which we live. However, due to the …
Modeling of badminton intelligent teaching system based on neural network
P Wang - Wireless communications and mobile computing, 2021 - Wiley Online Library
With the popularity of neural networks and the maturity of network technology, fully functional
intelligent terminals have become indispensable devices for people's lives, research, and …
intelligent terminals have become indispensable devices for people's lives, research, and …
Expanding Task Diversity in Explanation-Based Interactive Task Learning
A Mininger - 2021 - deepblue.lib.umich.edu
The possibility of having artificial agents that can interact with humans and learn completely
new tasks through instruction and demonstration is an exciting prospect. This is the goal of …
new tasks through instruction and demonstration is an exciting prospect. This is the goal of …
Specifying dual-arm robot planning problems through natural language and demonstration
Multi-modal robot programming with natural language and demonstration is a promising
technique for efficient teaching of manipulation tasks in industrial environments. In particular …
technique for efficient teaching of manipulation tasks in industrial environments. In particular …
The Application of Wireless Network‐Based Artificial Intelligence Robots in Badminton Teaching and Training
S Gao - Computational intelligence and neuroscience, 2022 - Wiley Online Library
Artificial intelligence technology has already set its foot in various industries, including
sports, to train athletes. In this research article, people will study the application of wireless …
sports, to train athletes. In this research article, people will study the application of wireless …
Interactively learning a blend of goal-based and procedural tasks
Agents that can learn new tasks through interactive instruction can utilize goal information to
search for and learn flexible policies. This approach can be resilient to variations in initial …
search for and learn flexible policies. This approach can be resilient to variations in initial …
Enabling fast instruction-based modification of learned robot skills
Much research effort in HRI has focused on how to enable robots to learn new skills from
observations, demonstrations, and instructions. Less work, however, has focused on how …
observations, demonstrations, and instructions. Less work, however, has focused on how …