Latest Articles for Automation

A new method helps robots move through crowded places safely.

Reinforcement learning boosts efficiency in food packaging automation.

A new approach to robust MPC focuses on recursive feasibility for handling uncertainties.

A new approach improves multi-agent pathfinding by utilizing highways in dynamic environments.

A new robotic system aims to improve blossom thinning efficiency in apple farming.

New methods improve communication reliability for automated train control.

Study reveals how control policies affect vision model performance in robotics.

Learn how control systems maintain safety for interacting agents.

A new framework assesses chatbot performance by analyzing social interaction quality.

A new framework for breaking down complex requirements in robotic systems.

New methods improve robot training for real-world tasks using Real-Time Intrinsic Stochasticity.

A new method uses symmetry and demonstrations to help robots learn faster.

Using synthetic data improves hand detection in industrial settings.

Introducing SolverX, a fast solver for robotic control problems using piecewise-affine systems.

Robots improve their movements by learning from human demonstrations.

Automation in factories improves efficiency through evolutionary algorithms and program code generation.

New methods improve speed and accuracy in labeling images.

New approaches enhance predictive control for complex systems using machine learning.

PPCNet enhances efficiency in robotic bin-picking tasks through advanced path planning.

A look at how machines learn decision-making under uncertainty.

A method to learn control objectives from expert actions in complex systems.

Aerostack2 introduces a standardized approach for developing autonomous aerial robots.

A systematic approach to control robot groups for efficient navigation.

A look into how agents reach consensus efficiently through random communication.

Discover how simulations train defense agents against cyber threats.

A new framework improves software configuration accuracy using natural language processing.

This framework speeds up AutoML processes by evaluating pipelines early.

A new framework combines classical planning and VLMs to enhance robot task execution.

A new method improves robot movement safety with real-time obstacle avoidance.

Q-Learning enhances efficiency in assembly tasks, adapting to complex manufacturing needs.

A new method combines learning systems for improved decision-making and clarity.

Robotics focuses on improving mobile robot task performance through base placement optimization.

A new method enhances PCB inspection accuracy using multiple angles.

A novel approach to guiding robots in dense crops without GPS.

This article explores innovative methods for robotic object rearrangement in cluttered spaces.

A new approach combines learning techniques for safer robot interactions.

Discover the latest techniques in robot motion planning for safety and efficiency.

A fresh technique allows robots to estimate position with multiple distance sensors.

A new method enhances robotic manipulation using hyper-networks for pose control.

A look at modern control techniques for mixed continuous and discrete systems.