Latest Articles for Autonomous Systems

New neural networks improve image recognition performance, even with noisy inputs.

Research shows language models can enhance negotiation abilities through feedback and competition.

Examining how models learn and make decisions in critical applications.

Examining false data injection attacks in critical systems.

Robots learn to safely navigate tricky forest environments using advanced techniques.

Exploring how Inverse Reinforcement Learning helps agents learn from expert behavior.

New calibration method enhances reliability of deep learning model predictions.

New methods enhance predictions for out-of-distribution machine learning data.

Research improves consensus in multi-agent systems using parabolic PDEs.

A new framework aids in understanding AI decision-making with counterfactual explanations.

BMC supports efficient learning across multiple tasks while retaining past knowledge.

New IBVS method enhances docking accuracy for unmanned aerial vehicles.

A framework using causal models to improve learning from delayed rewards.

Satellites are changing computing with real-time processing capabilities in space.

A method to enhance compressed 3D point cloud data using advanced neural networks.

A look at Ensemble Model Predictive Control's impact on drone adaptability and efficiency.

Exploring the potential of diffusion models in depth and flow estimation tasks.

Discover how in-context learning transforms AI image recognition tasks.

Exploring how neural networks improve spacecraft and drone mission efficiency.

A new approach to enhance decision-making in DRL algorithms through caution.

A new technique boosts confidence estimates in multimodal learning for better predictions.

A new method improves image recognition performance on rare categories.

A method to enhance data combination by focusing on quality.

A fresh approach to make robot navigation faster and smarter.

A new framework for assessing safety in autonomous systems using runtime assurance.

A method for guiding autonomous systems while ensuring safety and compliance.

A new framework improves synthetic data generation for object detection tasks.

A new charging system for drones that boosts their flight time.

ColibriUAV enhances drone performance with advanced cameras and efficient processing.

A new framework improves safety and performance in multi-agent systems using STL.

A new method certifies neural networks' predictions under various image changes.

A new approach to enhance trust in object detection through reliable calibration techniques.

OMAC algorithm improves decision-making in multi-agent scenarios using pre-collected data.

A structured approach to enhance learning in autonomous systems through skill hierarchies.

This study proposes a method for machines to learn from expert states without visible actions.

A new method for agent cooperation using edge agreements to achieve shared goals.

This method improves machine learning by incorporating uncertainty into predictions.

A new method enhances 3D human pose estimation through LiDAR data.

Learn how Bayesian deep learning enhances prediction accuracy and reliability.

A new method enhances how machines estimate depth from images.