Latest Articles for Robot

This study reveals how memory enhances a robot's ability to search effectively.

A method to optimize robot tasks in water sampling operations.

This system improves how people work with robots, making tasks easier and faster.

Examining reinforcement learning methods in the MuJoCo environment for robot control.

Zespol streamlines the study of robotic swarms through flexible simulation.

Research shows how domain randomization aids robots in real-world tasks.

Research shows one human can effectively supervise a swarm of 100 robots.

A look into URDF files and their impact on robotic systems.

Examining the role of trust between users, robots, and deployers.

A new framework helps robots predict human behavior for safer interactions.

A new robot helps apple growers accurately count and size fruitlets.

This article introduces a quick and efficient system for robot localization using 2D images.

Learn how to assign tasks to robots for better cooperation and efficiency.

Studying how people conform to robots in workplace settings.

Research shows music affects robot interaction through emotional cues.

A hands-on program connects neuroscience with robotics for high school students.

A new method improves robotic interactions through language-based movement planning.

Research showcases a new method for controlling hopping robots through reinforcement learning.

How simple robots can move in a straight line without direction.

This study focuses on using Q-learning for robot navigation in bronchial tubes.

VAPORS enhances robot feeding by combining planning and specialized actions for better meal assistance.

ReachBot uses advanced methods to find cracks for climbing in rough environments.

New approach automates reward function design for deep reinforcement learning in robots.

A new system helps robots navigate lavender fields without GPS.

Robots learn to track moving objects with ease.

A new method helps robots safely navigate rough terrains using aerial images.

Grasp-Anything enhances robot grasp detection with diverse images and text descriptions.

A novel approach ensures robots can move quickly and safely around obstacles.

A dataset created to improve robot navigation in diverse environments.

Robots can effectively teach handwriting based on individual learner styles.

New robots overcome sandy terrains with innovative vibration technology.

Researchers develop robots that mimic snake movement for better performance in challenging terrains.

AirExo enables robots to learn whole-arm manipulation using real-world data.

Robots adapt to diverse terrains using self-collected data.

A new robot learns to maintain balance by mimicking natural survival strategies.

A portable system gathers detailed data on pedestrian behavior for better robot design.

DREAM enhances how robots manage tasks and energy in challenging settings.

Exploring the impact of AI on young learners and teaching methods.

Smac Planner enables efficient path planning for mobile robots in various environments.

CURE improves robot performance by optimizing configuration settings efficiently.