Increased global competition has placed a premium on customer satisfaction, and there is a
greater demand for manufacturers to be flexible with their products and services. This …

Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …

Seamlessly interacting with humans or robots is hard because these agents are non-
stationary. They update their policy in response to the ego agent's behavior, and the ego …

Anticipating the future actions of a human is a widely studied problem in robotics that
requires spatio-temporal reasoning. In this work we propose a deep learning approach for …

Abstract Advanced Driver Assistance Systems (ADAS) have made driving safer over the last
decade. They prepare vehicles for unsafe road conditions and alert drivers if they perform a …

In shared autonomy, a user and autonomous system work together to achieve shared goals.
To collaborate effectively, the autonomous system must know the user's goal. As such, most …

This paper proposes an interaction learning method for collaborative and assistive robots
based on movement primitives. The method allows for both action recognition and human …

We present a systematic survey of computational research in humanrobot interaction (HRI)
over the past decade. Computational HRI is the subset of the field that is specifically …

Collaborative robots are widely employed in strict hybrid assembly tasks involved in
intelligent manufacturing. In this paper, we develop a teaching-learning-collaboration (TLC) …

In shared autonomy, user input and robot autonomy are combined to control a robot to
achieve a goal. Often, the robot does not know a priori which goal the user wants to achieve …