Latest Articles for Autonomous Systems

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.

Introducing a programming language to improve robot decision-making and task execution.

Introducing novel techniques for interpreting complex-valued neural networks in various applications.

A new lightweight vision transformer enhances depth estimation for low-power devices.

A new method enhances planning for collaborative robots in various environments.

PALM improves computer vision models' adaptability in changing environments.

Utilizing simulations to develop effective algorithms for drones and autonomous flying systems.

New metasurfaces that control light using electrical signals offer promising applications in optics.

A new method for secure localization without compromising sensitive data.

A new framework improves how language agents learn and perform tasks.

ALPINE is a climbing robot designed for safe mountainous terrain operations.