Latest Articles for Robotics

This article discusses video prediction models and their use in instance segmentation tasks.

A new method simplifies checking forward-flatness in discrete-time systems.

A new method enhances learning via expert demonstrations by merging diffusion models with GAIL.

Introducing BRO, an advanced method for faster robotic learning.

Deep-PE enhances pose selection accuracy in low-overlap point cloud scenarios.

This article discusses a new method for robots to avoid obstacles safely.

A new method improves motion estimation using adaptive finite element meshes.

New algorithm improves learning efficiency across multiple tasks.

New methods improve stability of control systems under uncertain conditions.

Study focuses on how robots can handle conflicts and communicate effectively with users.

A new device improves testing of soft materials in various fields.

This study highlights the efficiency of off-policy learning in adversarial imitation.

Innovative methods are essential for active debris removal and safe space operations.

A new algorithm enhances navigation for small lunar rovers on challenging terrain.

A new dual-speed actuator improves robot versatility and efficiency for various tasks.

A novel approach to managing interconnected nonlinear systems for improved stability and performance.

Pace adapts learning processes in real-time for lifelong reinforcement learning.

A new model improves dielectric elastomer applications in soft robotics.

Exploring the potential of mechanical neural networks in machine learning.

A new model improves robot learning for complex tasks.

A new approach enhances mapping and tracking using RGB images.

Techniques for guiding robots to specific locations while avoiding obstacles.

Imitation learning helps robots move better in busy environments.

CHAMP improves 3D pose estimation using 2D keypoints from videos.

A new method enhances machine learning by improving movement prediction.

Event cameras improve robot vision by mimicking human eye movements.

Introducing a novel method for improved depth estimation using unlabeled data.

A look into contract-based design for hybrid systems and their complexities.

Exploring the two-timescale Q-learning algorithm in mean field reinforcement learning.

DOF-GS improves image clarity and allows creative depth of field effects.

A simplified model for effective navigation using natural language instructions.

New dataset and detection system improve fruit harvesting efficiency for farmers.

CoCoGesture creates lifelike gestures that match spoken words, enhancing interaction.

RCDN improves collaboration between agents despite camera failures.

AHAC improves decision-making in robotics by adapting to environmental dynamics.

New methods aim to improve machine learning with diverse tasks and interactions.

Generative Trajectory Augmentation improves decision-making in offline RL.

Introducing a novel approach to offline reinforcement learning for better decision-making.

A new method enhances safety in reinforcement learning through risk management.

A new system for adjusting hexapod gaits improves robot mobility and stability.