Learning from demonstration (LfD) has been used to help robots to implement manipulation
tasks autonomously, in particular, to learn manipulation behaviors from observing the motion …

JJ Gibson's concept of affordance, one of the central pillars of ecological psychology, is a
truly remarkable idea that provides a concise theory of animal perception predicated on …

We present a comprehensive survey of robot Learning from Demonstration (LfD), a
technique that develops policies from example state to action mappings. We introduce the …

A general-purpose robot should be able to master a wide range of tasks and quickly learn a
novel one by leveraging past experiences. One-shot imitation learning (OSIL) approaches …

We address the issue of learning and representing object grasp affordance models. We
model grasp affordances with continuous probability density functions (grasp densities) …

We present a real-world robotic agent that is capable of transferring grasping strategies
across objects that share similar parts. The agent transfers grasps across objects by …

Human factors and human-centered design philosophy are highly desired in today's robotics
applications such as human-robot interaction (HRI). Several studies showed that endowing …

Eye-in-hand cameras have shown promise in enabling greater sample efficiency and
generalization in vision-based robotic manipulation. However, for robotic imitation, it is still …

We present and discuss four important yet underserved research questions critical to the
future of sharedenvironment human-robot collaboration. We begin with a brief survey of …

The main goal of this article is to present COACH (COrrective Advice Communicated by
Humans), a new learning framework that allows non-expert humans to advise an agent …