Deep LfD is an end-to-end solution to robot programming. Deep LfD learns deformable object manipulations. Deep LfD jointly learns motion planning and control.

This paper presents a dataset of successful needle insertion by da Vinci Research Kit into deformable objects based on which several deep-LfD models are built.

Oct 22, 2024 · Like other robot learning from demonstration (LfD) approaches, deep-LfD builds a task model from sample demonstrations.

Abstract—Deep Learning from Demonstrations (Deep LfD) is a promising approach for robots to perform precise bilateral automation tasks involving contact and ...

Learning from Demonstration (LfD) is a promising approach to enable Multi-Robot Systems (MRS) to acquire complex skills and behaviors.

In this work, we propose an LfD methodology based on Generative Adversarial Imitation Learning (GAIL) that is built on a Deep Reinforcement Learning (DRL) ...

Oct 22, 2024 · In the context of robotics and automation, learning from demonstration (LfD) is the paradigm in which robots acquire new skills by learning ...

This paper studies an extension to robot imitation learning, called Discovery of Deep Continuous Options (DDCO), where low-level continuous control skills.

Learning from demonstration (LfD) enables robots to intuitively acquire new skills from human demonstrations and incrementally evolve robotic intelligence.

Deep Learning from Demonstrations (Deep LfD) is a promising approach for robots to perform bilateral automation tasks, such as tasks involving dynamic ...