Latest Articles for Robotics

A new approach to robot motion planning that addresses uncertainty effectively.

Robots enhance their skills to operate on the Moon's challenging surface.

Exploring the integration of neural networks and symbolic reasoning in AI.

Robots collaborate for efficient building in complex environments.

A new method helps robots better solve arrangement challenges.

The NTU4DRadLM dataset enhances SLAM research by integrating key sensors for challenging environments.

A new method that combines monocular and binocular depth estimation for enhanced accuracy.

A method to ensure reliable consensus among agents despite malicious behavior.

A new model helps robots learn object relationships and predict actions.

New frameworks improve drone performance using learning and adaptive control methods.

This study reveals how air flow impacts quadcopter efficiency during hovering.

New approach to robust Markov Decision Processes enhances decision-making under uncertainty.

Research focuses on improving communication between humans and robot swarms.

A new method reduces scene bias for better video action recognition.

Robots can work together without a leader, mimicking nature's efficiency.

MILA improves object detection across different domains using a memory approach.

A method improves object reference understanding using perspectives and gestures.

A new approach enhances AAV maneuvers in tight orchard spaces.

A look into a unique mechanical design for complex movement.

This research unveils a system for efficient robot training across diverse tasks.

This article reviews the importance of reproducibility in child-robot interaction studies.

New approach combines simulation and offline data for better robot testing.

A new method enhances 3D instance segmentation by removing mask attention reliance.

Researchers are improving materials through mechanical regularization techniques.

GORL enhances offline RL by leveraging expert data for better decision-making.

An overview of Kaleidocycles and their mathematical significance.

Language agents merge AI and decision-making for real-world tasks.

HERON simplifies reward design, enhancing reinforcement learning efficiency and flexibility.

A new method improves robot learning efficiency using fewer examples.

DETRack offers an efficient solution for visual tracking with advanced training strategies.

An exploration of how material and shape affect wire behavior under stress.

Making vision transformers efficient for drones and mobile devices to enhance visual tasks.

A new gradient-based method enhances robot state estimation accuracy and speed.

This study presents a magnetic field-based method for efficient robot navigation indoors.

Investigating how fish interact with robotic lures reveals gaps in mimicry.

Robots use Bayesian methods to gather data safely in unpredictable environments.

New methods improve how machines understand object interactions.

AutonomROS integrates reconfigurable hardware for efficient autonomous vehicle operation.

SLiMe simplifies image segmentation using just one annotated example.

ResFields introduce new layers to improve neural fields for complex signals.