Latest Articles for Robotics

GOReloc enhances robot positioning through object recognition and mapping.

A new task challenges models to analyze entire video streams for better comprehension.

Combining neural networks with MPC improves efficiency in complex control systems.

A new framework enhances the modeling of soft robots for better predictions.

An overview of geometric concepts and their implications in various fields.

Integrating ontologies enhances planning in uncertain and complex environments.

A look at extremum seeking control in multivariable dynamic systems.

CrossVLT improves object segmentation using natural language descriptions in complex images.

A fresh method enhances robot walking in dynamic environments using decision-making and machine learning.

A new algorithm improves data on arm movements during everyday tasks.

This article looks at enhancing the design of hand exoskeletons for better user support.

A new method enhances place recognition in limited LiDAR field of view.

Exploring how brain chemicals improve reinforcement learning algorithms.

Diff-PCC improves point cloud compression efficiency and quality using diffusion models.

This article examines the effectiveness of image-based 3D models in pose estimation.

A new method enhances how agents predict future rewards and explain decisions.

A new approach enhances agent learning with flexible reward systems.

An in-depth look at how wing movements affect flight efficiency.

A new method enhances detection of weak positive samples in 3D environments.

New microactuators harness internal combustion for fast and powerful movement.

A new method enhances how robots share charging stations and other resources.

This article discusses how robots can handle cancel commands effectively in the kitchen.

New hybrid mapping method improves speed and accuracy for robots.

This article discusses tropical geometry's role in studying planar linkages.

New method enhances MAPF algorithms for better search results.

A new method enhances data accuracy for humanoid robots, boosting their performance.

Caution-Aware Transfer enhances safety and performance in reinforcement learning applications.

A new method enhances differentiation accuracy using Taylor expansions and correction terms.

New methods enhance 3D modeling of indoor environments through vector fields.

SYMPOL bridges decision-making clarity and effectiveness in reinforcement learning.

New strategies for effective coordination in multi-agent networks using consensus protocols.

NRMs improve machine learning by remembering past actions and experiences.

New method enhances safety for autonomous cars using a single RGB-D camera.

A new method enhances object recognition in 3D environments.

A study on managing systems with sudden changes and limited observations.

Researchers develop new motors for enhanced MRI-guided surgical procedures.

A new framework tackles challenges in multi-task learning with 360-degree images.

Discover how soft-rigid hybrid robots combine flexibility and strength for diverse applications.

A new method improves the safety verification of neural networks in critical systems.

A fresh approach to imitation learning enhancing performance with limited data.