Latest Articles for Imitation Learning

A transformer-based system improves how robots learn multiple tasks.

Robots learn to adapt through vision and imitation techniques, improving usability.

A new method enables agents to learn effectively from observations without direct action data.

A method to enhance robot navigation from simulation to real environments.

New methods enhance drone navigation and safety in complex environments.

A new method helps agents learn from experts despite missing information.

This method improves agent training using less expert data through exploration and path signatures.

Robots are being trained to improve DVT ultrasound examination accuracy.

A new method for heat pump control reduces costs and enhances energy efficiency.

A new method improves decision-making in agents with limited data.

Exploring DINO pre-training's impact on autonomous vehicle performance and adaptability.

WayEx helps robots learn tasks efficiently with fewer demonstrations.

A low-cost teleoperation system enhances robot learning through human demonstrations.

Examining advancements in robot learning for multi-robot systems.

NAVINACT blends motion planning and learning for efficient robotic tasks.

How robots learn to move among people effectively.

Exploring techniques for enhancing robot hand coordination and task efficiency.

The EyeSight Hand mimics human dexterity with advanced touch sensing technology.

A fresh approach to imitation learning enhancing performance with limited data.

Robots learn to play piano using a new dataset of over one million movements.

Robots learn tasks faster through in-context imitation learning.

Research shows robots can improve learning using motion patterns from previous tasks.

Exploring the intersection of human feedback and multi-agent systems for better collaboration.

Combining Behavioral Cloning and PPO enhances trajectory planning for self-driving cars.

This article discusses the integration of VR and molecular dynamics for research advancements.

A look into how IRL enhances language model performance and diversity.

A new method reduces data needs for training robots with visual demonstrations.

A low-cost framework allows robots to learn tasks by observing humans.

A new controller adapts to different quadcopters and conditions effortlessly.

Research shows improved techniques for pathfinding with multiple agents in shared spaces.

A new approach improves self-driving car safety through counterfactual examples.

A new method helps robots learn teamwork through human support.

GravMAD helps robots learn tasks in 3D spaces through sub-goals.

Investigating the impact of diverse training data on humanoid robot movement.

A look into how robots learn and the hurdles they face.

Researchers tackle challenges of teaching self-driving cars through imitation and learning.

Researchers are training autonomous boats to dock using expert techniques.

A new approach improves quadruped robots' movement skills and adaptability.

A look at how BMPs enhance robot movement for various tasks.

Research improves drone efficiency and decision-making using neuromorphic systems.