Latest Articles for Autonomous Systems

SLAck offers a new approach to tracking diverse objects in videos.

A new approach for agents to share strategies and improve performance in diverse settings.

Engineers employ advanced methods for the safety of self-driving cars.

A new method improves how robots predict future scenes and object interactions.

This study focuses on protecting quadrotors from cyber-attacks.

IMOST enhances robots' ability to learn about traversable paths while navigating complex environments.

Exploring the role of Semantic Communication and security in next-gen networks.

A system enabling robots to explore and update indoor maps autonomously.

A new method improves accuracy in segmenting RGB-D images with depth errors.

A novel method enhances robot safety using visual data without complete information.

A new system helps robots navigate challenging outdoor environments more effectively.

New distributed methods enhance target tracking while reducing energy costs.

New method enhances legged robots' ability to navigate complex environments using visual input.

Introducing AdaGauss to enhance learning without retaining older data.

A method that combines event data and traditional frames for better motion analysis.

A new approach improves how AI assesses uncertainty in predictions.

A framework to improve movement prediction for skid-steered wheel mobile robots.

New method enhances robots' ability to navigate diverse outdoor environments.

MultiDepth enhances depth estimation, making machines smarter in their environments.

New methods improve robot safety and interactions with humans.

Explore Mean-Field Control Barrier Functions for safer swarm management.

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.