Latest Articles for Autonomous Systems

BlackVIP enables efficient use of AI models without accessing their internals.

Grad-CAPS improves action smoothness in reinforcement learning for robotics and autonomous systems.

An overview of the interactions in Cyber Physical Systems and their implications.

A new merging algorithm improves 3D instance segmentation accuracy significantly.

Enhancing detection with RGB and depth images to tackle real-world challenges.

A new method enhances robot navigation by merging visual and geometric data.

A diverse dataset supports research in 4D radar technology for autonomous systems.

Utilizing public data to enhance mapping from first-person perspectives.

A new method enhances robot exploration and goal achievement through temporal distance.

SPCL improves model training stability in multi-task environments.

ScaleDepth improves depth estimation by separating scene scale and relative depth.

This paper discusses methods for robots to make better decisions amid uncertain resource costs.

A look at optimizing data packet delivery in wireless mesh systems.

Reinforcement learning agents learn to adapt and reuse knowledge for new challenges.

New features enhance LiDAR segmentation accuracy for safer autonomous driving.

New odometry system improves robot navigation accuracy using internal sensors.

A new approach improves decision-making in AI through causal relationships.

A new approach helps robots explore unknown areas more effectively.

This article discusses using Siamese Neural Networks for mobile robot positioning.

Learn about neural networks, their structure, and applications in various industries.

A new method enhances SLAM accuracy using LiDAR, IMUs, and encoders.

A novel method enhances semi-supervised segmentation by focusing on reliable pseudo-labels.

Unified-EGformer improves image quality under varying lighting conditions.

A new technique enhances scene classification using hybrid graph neural networks.

New method improves classification accuracy and adaptability through error detection.

Combining adaptive control with meta-learning improves system performance under uncertainty.

A new method improves memory use in camera localization without sacrificing accuracy.

New ViT architecture improves accuracy while resisting adversarial threats.

AI enhances object recognition by understanding material properties for better decision-making.

A new method enhances robot cooperation during unexpected failures.

A new method for faster reinforcement learning through knowledge sharing.

A new model for efficient object detection in high-resolution images.

A method for developing resilient policies for drones in uncertain environments.

A novel approach using hypergraphs improves predictions of agent trajectories in various environments.

This study explores a new method for optimizing multiple goals in self-adaptive systems.

A multirotor UAV designed for safe landings despite rotor failures represents a major step forward.

A look into Enhanced Outlier Logit method for better class recognition.

PointNCBW offers a reliable way to verify ownership of point cloud datasets.

A new method improves language agents' decision-making through self-reflection.

Explore the role of Control Barrier Functions in maintaining safety across various systems.