Latest Articles for Autonomous Systems

Balancing advancement and safety in autonomous systems is crucial for future development.

Exploring parameter-efficient fine-tuning for depth estimation accuracy and uncertainty.

Researchers are training autonomous boats to dock using expert techniques.

A look into how machines learn through Multi-Stage Knowledge Integration.

Exploring how digital twins enhance the potential of autonomous surface vessels.

Researchers show drones can track moving targets autonomously, avoiding collisions.

SCP helps predict outcomes while considering strategic behavior changes.

Explore the principles of nonholonomic systems and their role in movement.

A new approach merges visual recognition and reasoning for improved image understanding.

Introducing the Smooth Zone Barrier Lyapunov Function for better control system safety.

Researchers are advancing microrobots for tasks like environmental monitoring and search and rescue.

Exploring advancements in optical computing and the quest for compact devices.

This paper evaluates ANN methods for efficient edge device performance.

Using density functions to help robots navigate safely in busy environments.

This paper presents a new method for robots to cooperate better in tasks.

Helvipad provides depth information from 360-degree images, aiding machine learning.

Exploring the role of sensors in autonomous inland waterway navigation.

HPRM improves communication in robotics, making systems faster and safer.

Learn how RGBDS-SLAM is changing robot navigation and mapping.

Learn how autonomous agents safely operate in competitive environments.

UniMLVG generates realistic driving videos, enhancing self-driving car navigation.

Teamwork and technology come together for effective mobile target tracking.

Robots develop smarter strategies to outsmart adversaries using TAB-Fields.

Discover how ISAC systems are changing tech and communication.

Innovative model enhances image recognition reliability against attacks.

Discover how Policy Agnostic Reinforcement Learning changes machine decision-making.

Revolutionizing drone navigation with self-supervised learning and event cameras.

Learn how middleware transforms communication for autonomous vehicles.

A system that allows AI agents to learn using natural language commands.

Discover how Model Predictive Control boosts machine decision-making abilities.

OV-VSS revolutionizes how machines understand video content, identifying new objects seamlessly.

A new method for agents to work together using action suggestions.

Reinforcement learning enhances autonomous management of increasing spacecraft in orbit.

How autonomous vehicles safely pass through tight spaces with clever tech.

IR-PFT allows robots to improve decision-making by reusing past experiences.

Discover how multi-agent systems mirror our daily coordination challenges.

Innovative runtime monitoring enhances safety and stability in drones and ships.

ParMod offers a new approach to tackle complex reinforcement learning challenges.

Drones can now land safely thanks to advanced technology and smart data.

AIR blends individual and team strategies in AI for better performance.