Latest Articles for Autonomous Systems

A look at errors in SLAM and the role of Jacobians in optimization.

New methods improve accuracy in depth estimation using synthetic and real-world data.

Learn how autonomous systems plan actions effectively over time.

ABTrack enhances visual tracking speed and efficiency across various devices.

A new technique enhances neural network prediction reliability through geometric adjustments.

A guide to detecting satellite problems during lunar and Martian missions.

A new method improves machine learning model adaptability in dynamic situations.

A new method for teaching machines through videos despite visual differences.

A new method improves safety for drones using resilient estimation and control barrier functions.

Visual Overlap Prediction improves image retrieval accuracy and efficiency in complex environments.

New methods enhance drone navigation and safety in complex environments.

Robots cooperate using only visual input, enhancing movement and coordination.

A new approach enhances decision-making in dynamic environments using continuous-time reinforcement learning.

A new method helps identify weak points in deep learning models quickly.

Introducing methods for safer decision-making in reinforcement learning environments.

Study reveals methods for efficient target search by mobile agents in circular areas.

TADPoLe trains agents using text-based rewards for natural task execution.

New methods improve model recognition across varied data types.

New methods improve detection of small objects in computer vision.

Enhancing prediction sets when data conditions shift without needing labels.

A new method improves motion planning efficiency in robotics and 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.