Latest Articles for Autonomous Systems

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.

Exploring new methods for improving robot task performance and adaptability.

Analyzing how video compression techniques affect fisheye camera performance in self-driving cars.

FAC improves learning efficiency in reinforcement learning with unique experience management.

Discover how language models enhance continual learning in AI systems.

A new method improves efficiency in evaluating various decision-making policies.

A look at integrating machine learning and heuristic search for better agent coordination.

Research enhances robot exploration by improving decision-making using active perception methods.

Innovative coding improves communication systems in challenging environments.

TSNet improves image quality in hazy conditions using a two-stage network approach.

A new method for identifying and describing objects in videos.

LeGrad enhances understanding of Vision Transformers' predictions through effective heatmaps.

A novel method enhances learning in multi-objective settings using prior demonstrations.

New model addresses complexities of decision-making amid unpredictable delays.

AFedPG enhances efficiency in federated reinforcement learning through asynchronous updates.

Explore how basic rules can guide agents through mazes with minimal information.

Introducing ARMCHAIR, a system for enhanced teamwork between humans and robots.

Exploring the security challenges and advancements in URLLC technology.

New methods improve 3D modeling from single and multiple images.