Latest Articles for Human-Robot Interaction

Exploring how robots can better understand and explain conversations with people.

BRMData provides essential data for robots performing household tasks using both hands.

A new system that improves robot learning efficiency using video and language feedback.

A study on desktop robots using natural language and visual recognition technologies.

New software platform improves how robots interact with people in various environments.

This article examines how language models improve robot communication and interaction.

LGR2 improves robotic task performance through language instructions and hierarchical learning.

A new method helps robots learn from humans while ignoring distractions.

A new method helps robots understand user commands better.

Robots learn tasks by observing humans, enhancing adaptability in manufacturing.

New dataset enhances robots' grasping skills using natural language commands.

A method enabling body movement control of robots is aiding those with disabilities.

Evaluating risks of biased outcomes in robots using language models.

A new method enables agents to learn effectively from observations without direct action data.

DIPPER optimizes robot learning through human feedback, improving task performance.

Researchers develop new methods for training robots safely in risky environments.

Robots are improving their ability to adapt to tasks in various environments.

A new system helps robots learn tasks using audio from real-life demonstrations.

A new method aids robots in carrying objects collaboratively.

A new approach helps robots adapt quickly to unfamiliar tasks.

Research advances methods for safer robot navigation using uncertainty estimation techniques.

A new method improves robot learning efficiency through better human interaction.

neuROSym improves robots' ability to predict human actions in real-time.

Understanding uncertainty boosts the accuracy of emotion recognition in real-world scenarios.

Robots learn new tasks faster by using existing skills from past experiences.

New system enables robots to rearrange objects using visual and language inputs.

A method allowing robots to adapt to unexpected changes during tasks.

Robots are learning to communicate naturally with humans through advanced language models.

A new method helps agents learn from experts despite missing information.

Exploring how empathy enhances communication with robots and virtual assistants.

A new approach enhances robot learning efficiency using task symmetries.

MARS helps robots better perceive and interact with articulated objects.

A new method enhances robots' ability to find objects in open environments.

Exploring the connection between reinforcement learning and ethical decision-making in machines.

Compact methods for robots to navigate without human intervention are emerging.

This paper discusses a method for robots to learn safety from human input.

Examining how different instructions impact robot task success.

A new training approach enhances robot safety and adaptability in task performance.

Understanding how robots can learn about their environments independently.

New approach helps robots learn tasks by generating images of actions.