Latest Articles for Robotics

A new model improves communication and reduces power use in wireless control systems.

A new method enhances understanding of RL agents' decision-making.

A study on hybrid systems improving robot collaboration for environmental tasks.

This article explores recent innovations in visual language navigation and their implications.

New methods improve robots' ability to grasp objects in messy environments.

A foot controller enhances hands-free movement in virtual reality and robotics.

A new method enhances computer vision with RGB-D data and curriculum learning.

A new framework enhances how models understand spatial relationships in images.

This paper examines the synergy between Federated Learning and control applications.

Research highlights the need for robust security in LLM-integrated robotic systems.

New methods improve object tracking accuracy in 3D spaces using event cameras.

This article examines how irregular shapes behave when rolling on an incline.

New synapse model enhances energy efficiency in spiking neural networks.

Enhancing virtual agent interactions through spatially aware gestures.

NAVINACT blends motion planning and learning for efficient robotic tasks.

A new gripper uses suction and fingers to improve fruit picking.

A robot capable of playing table tennis at an amateur level against humans.

A new framework improves safety for AI-controlled cyber-physical systems.

Granular grippers adapt to shapes for better object handling in robotics.

New method enhances distance sensors for detecting surface changes.

A look into polynomial optimization and its significance in various fields.

How robots learn to move among people effectively.

A new framework enhances robot safety and efficiency in unpredictable settings.

New executor improves task scheduling in ROS 2 for robotic systems.

Neuromorphic computing mimics brain function for efficient processing in modern devices.

New methods improve decision-making in uncertain environments through model-free approaches.

Enhancing egocentric video learning through transformed exocentric data.

A new network improves point cloud classification through image translation.

Exploring KANs as a new approach for efficient reinforcement learning models.

Learn how Riemannian splines connect points smoothly on curved surfaces.

This paper examines machine learning techniques for feedback control in complex systems.

DiPGrasp improves robotic grasp planning with speed and flexibility for various grippers.

MIRRER aims to improve robot evaluation through structured experiments.

A new model generates realistic videos showing part-level movements from single images.

Strategies for optimal control in uncertain dynamic systems.

Developing agents that engage in real-time dialogue for better navigation.

Deep generative models enhance robot learning through advanced techniques and applications.

Discover the benefits of group equivariant CKNs in handling input variations.

A look at NeRF and Gaussian methods versus traditional systems.

Mu-MAE introduces new methods for recognizing human activities through multiple data sources.