Latest Articles for Human-Robot Interaction

A new framework enhances robot safety and efficiency in unpredictable settings.

DiPGrasp improves robotic grasp planning with speed and flexibility for various grippers.

Deep generative models enhance robot learning through advanced techniques and applications.

A new method improves safety in decision-making for machines.

New methods help robots learn effectively from varied task demonstrations.

Exploring techniques for enhancing robot hand coordination and task efficiency.

Stable-BC enhances robot performance in unexpected situations through improved behavior stability.

Research reveals trust's impact on robot and human team dynamics.

Robots learn to play piano using a new dataset of over one million movements.

ARIO standardizes data to improve robot training and adaptability.

New control strategies improve robot learning and safety in manufacturing.

Humanoid robots learn to navigate tough terrains through a new approach.

New method helps robots learn tasks with just one video, improving efficiency.

Examining how age affects trust in robots during caregiving tasks.

RoboMNIST aids robots in recognizing various activities using WiFi, video, and audio.

This research showcases how robots learn complex tasks through real-world training.

A new navigation method improves robot safety in crowded environments.

Combining learning and planning improves robot safety and efficiency in complex tasks.

Using language to teach robots new tasks more efficiently.

Robots learn tasks faster through in-context imitation learning.

DeMoBot enables robots to learn tasks with minimal demonstrations for better object manipulation.

Research shows robots can improve learning using motion patterns from previous tasks.

A new scale helps assess robot transparency for better user interaction.

Pepper's upgraded hardware and software boost its ability to understand and respond to people.

Study reveals advantages of body gestures for controlling quadruped robots.

This work explores generative modeling for advancements in robotics tasks and interactions.

A new software library aims to enhance Baxter's movement control in research applications.

A look into methods recognizing object affordances for machines.

A safety framework ensures responsible behavior in embodied AI systems through structured processes.

Discover how robots sense, learn, and act in various environments.

Robots are improving safety by monitoring workers and their gear in real time.

New platform improves soft robot control and performance using machine learning.

A new method enhances control of humanoid robots with quick and precise actions.

A framework for ensuring robots perform safely and effectively in human interactions.

This study reveals how demographic traits affect perceptions of industrial robot movements.

StratXplore enhances robot navigation through improved error recovery strategies.

New approach improves robot understanding of navigation instructions using spatial awareness.

RHyME improves robot learning by enabling them to learn from varied human demonstrations.

Study reveals how timing and beneficiary influence fairness perceptions during robot interactions.

Research focuses on teaching robots to use feet for tasks while avoiding obstacles.