Latest Articles for Robotics

A new method for safely controlling unpredictable systems.

SGS-SLAM improves 3D mapping accuracy and speed using Gaussian representations.

New methods improve safety of systems in uncertain environments.

Understanding the role of time in automated systems enhances their functionality.

A new method enhances how agents explore complex three-dimensional spaces.

A new approach enhances Hamiltonian system modeling despite noisy data.

Robots can learn human preferences better through behavior and language analysis.

Learn how optimal transport enhances data movement and analysis in various fields.

Research reveals optimal swimming techniques for better thrust and speed.

New methods enhance energy efficiency and performance for spiking neural networks.

A new system allows data scientists to train robots without complex software.

A new method improves decision-making under uncertainty using probability measures.

A method combining quick decision-making with diverse robot behaviors.

Research examines the use of VLMs to assess robot actions.

New method for safe robotic exploration while learning effectively.

A new method enhances safety for robots navigating complex environments.

A method to improve cooperation in multi-agent systems with sparse rewards.

Introducing a new method for detecting errors in robotic actions during few-shot imitation.

SEABO generates rewards from expert data, simplifying offline imitation learning.

New algorithms tackle challenges in continuous state-action spaces of Reinforcement Learning.

A new approach to reinforcement learning addresses delayed rewards using bagged feedback.

New methods enhance sample efficiency and speed in reinforcement learning.

Text2Data improves data generation using unlabeled and labeled sources effectively.

CURE improves robot performance by optimizing configuration settings efficiently.

A new method identifies motor failures in quadrotors for enhanced safety.

A new method improves decision-making in dynamic environments for AI agents.

Discover how Actions World Models improve decision-making in complex environments.

New methods enhance safety for complex systems like robots and autonomous vehicles.

This study reveals how to align robot voices with their designs effectively.

A new method improves decision-making under constraints in reinforcement learning.

New methods improve control design for complex robotic specifications.

New methods help robots explore unfamiliar environments without prior maps.

Examining tether entanglement challenges and new solutions for tethered robots.

Robots improve data collection efficiency with dynamic path planning in unknown environments.

New control method enhances robot interaction for cleaning and sanding tasks.

Artificial agents learn communication strategies to improve collaboration in a game.

A new approach streamlines hand motion adaptation for various applications.

Using Vision-Language Models to enhance robot feedback and learning efficiency.

LPT enhances machine decision-making by emphasizing planning over immediate rewards.

A new method helps robots find safe paths amid uncertainty.