Latest Articles for Robotics

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.

New methods enhance realistic movement in animated characters with soft bodies.

SwarmRL aids scientists in controlling micro-robots for various applications, especially in medicine.

Research reveals how magnetic fields influence active particle behavior and organization.

Exploring new methods for designing frames in machine learning.

Exploring the relationship between different triangulations in geometry and topology.

Examining how shared values impact trust between humans and robots.

New method enhances MAV swarms' relative localization using UWB for better cooperation.

A novel approach helps robots connect visual data with actions.

A new framework enhances robotic grasping in surgical environments, improving efficiency and adaptability.

Examining the impact of cobots on task efficiency and worker satisfaction.

A novel approach improves merging of AI models for better performance and efficiency.

Exploring Nambu-Poisson structures and their applications in complex systems.

A new framework enhances object detection in complex scenes.

A novel method combines language models and knowledge graphs to improve robot safety.

Exploring policy gradient methods and their effects on decision-making in reinforcement learning.

Explores the link between discrete control systems and deep learning techniques.

A novel system tracks and recognizes dynamic 3D scenes using a single video.

A new method improves efficiency and fairness in warehouse picking operations with robots.

A new method enhances task detection in real-time machine learning.

A new system enhances robot skill adaptability for various tasks.

A new algorithm improves learning in constrained environments using posterior sampling.

Exploring playful ways to enhance human-robot interactions in urban environments.

Examining how action choices influence RL agents in spacecraft tasks.

A new approach enhances robot learning from past demonstrations using counterfactual data.

Tilde system revolutionizes robotic dexterity through intuitive control and effective learning.

Study reveals new techniques for continuous learning in complex environments.