Latest Articles for Robotics

GOMs enhance agents' adaptability and decision-making through long-term outcome modeling.

Dielectric elastomers convert electrical energy into mechanical motion, offering diverse applications.

Research improves methods for identifying textureless objects in robotics and manufacturing.

Examining soft Q-learning for effective decision-making in uncertain environments.

A new approach to filtering complex systems using Gaussian PSD Models.

A smart system to recognize multiple languages without prior training.

A new method improves coordination of unmanned underwater vehicles in dynamic currents.

OmDet-Turbo enhances real-time object detection with open-vocabulary capabilities.

A new communication strategy for multi-agent systems enhances efficiency and adaptability.

A new method for improved semantic segmentation with limited examples.

This article discusses the essential aspects of constrained reinforcement learning and its real-world applications.

New methods improve robot efficiency in complex environments using 3D scene graphs.

Blending HMDP and MPC for safer autonomous vehicle operations.

Exploring two data-driven approaches to control systems.

Discover how VR is transforming robot control through teleoperation.

A novel teleoperation system simplifies robot training through real-time human control.

Introducing a programming language to improve robot decision-making and task execution.

New methods improve object pose accuracy and uncertainty assessment in robotics.

A new system enhances robot navigation and object manipulation capabilities.

Robots learn continuously to adapt to new tasks and environments.

A new model boosts depth estimation by generating realistic RGBD samples.

Introducing Motion Mamba, a fast method for realistic human motion generation.

Our method eliminates self-intersections in 3D body shapes and poses.

Innovative approaches improve control design using data and contractivity in nonlinear systems.

Combining reinforcement learning and meta-operators improves decision-making in complex tasks.

FastMAC offers a faster method for aligning 3D point clouds with high accuracy.

Innovative tactile simulators enhance robot object handling skills.

A new lightweight vision transformer enhances depth estimation for low-power devices.

This article introduces a new method to improve stability in real-time control systems.

Research shows how planning ahead improves movement speed and accuracy.

CGPO enhances decision-making in uncertain scenarios with mixed actions.

A new method helps robots locate objects more effectively in complex environments.

A new approach improves control systems analysis using set-valued analysis.

Robots learn to manipulate objects from experiences rather than human input.

A new method enhances planning for collaborative robots in various environments.

Learn how to measure uncertainties in robotic pose estimation for better performance.

Robots learn to find moving objects in dynamic environments effectively.

This work addresses adapting causal representations to different settings effectively.

Introducing innovative Koopman models designed for stability in system learning.

New metalens technology offers flexible focusing capabilities for various applications.