Latest Articles for Autonomous Systems

New methods improve safe navigation for autonomous systems through innovative control strategies.

New method allows agents to learn together while managing untrustworthy influences.

Explore key features and challenges of the upcoming 6G mobile network.

A new approach enhances how robot swarms cover areas efficiently.

A look at how physics can enhance reinforcement learning methods.

This article examines the role of LLMs in self-adaptive systems and their implications.

S2TPVFormer enhances predictions by integrating spatial and temporal information for better scene understanding.

New method allows spacecraft to navigate independently using celestial images.

DiffuserLite enhances speed and efficiency in decision-making for robotics and AI applications.

Exploring safety measures in adaptive control using control barrier functions.

An overview of multi-agent learning and strategies for better cooperation.

Improving machine learning reliability through advanced OOD detection methods.

A new method improves decision-making under uncertainty using probability measures.

New algorithms tackle challenges in continuous state-action spaces of Reinforcement Learning.

A look at managing safety in uncertain environments for autonomous systems.

A new method for analyzing autonomous vehicle behavior improves safety and reliability.

Discover how CBS-TA-PTC enhances task assignment and pathfinding.

New methods combine expert insights with learner experiences for improved efficiency.

A new method enhances decision-making in collaborative agent systems.

A new method to analyze agent behaviors in complex systems through visualization.

Researchers find ways to safeguard sensitive data in cooperative agent environments.

A new method improves energy efficiency for drone area coverage.

Enhancing safety in machines through better perception contracts and learning-based approaches.

A new method for improving machine decision-making in dynamic environments.

Understanding how machines manage tasks for humans through alignment and capabilities.

A new algorithm improves offline RL efficiency with low-rank MDP structures.

A new method improves the alignment of LiDAR and camera data for better 3D models.

A new approach to ensure safety in offline reinforcement learning.

Exploring differential privacy methods in reinforcement learning to protect sensitive data.

RoadRunner helps robots navigate difficult outdoor terrains safely and efficiently.

Examining the future impact of autonomous UAVs in strike missions against high-value targets.

New methods enhance decision-making for multiple agents in uncertain environments.

A new method enhances LLM agents' learning by embracing both successes and failures.

A new framework enhances the safety of UGVs in complex environments.

A new model improves robot action prediction and adaptability in diverse tasks.

Understanding model robustness is key for real-world applications in various fields.

A study on Shielded Deep Reinforcement Learning for safe spacecraft autonomy.

New methods improve decision-making for self-driving cars amid uncertainties.

A smart system to recognize multiple languages without prior training.

OmDet-Turbo enhances real-time object detection with open-vocabulary capabilities.