The construction industry is seeking a robotic revolution to meet increasing demands for
productivity, quality, and safety. Typically, construction robots are usually pre-programmed …

Despite the recent successes in robotics, artificial intelligence and computer vision, a
complete artificial agent necessarily must include active perception. A multitude of ideas and …

Robotics is an emerging synthetic science concerned with programming work. Robot
technologies are quickly advancing beyond the insights of the existing science. More secure …

We present a new algorithm for task and motion planning (TMP) and discuss the
requirements and abstractions necessary to obtain robust solutions for TMP in general. Our …

We present a new constraint-based framework for task and motion planning (TMP). Our
approach is extensible, probabilistically complete, and offers improved performance and …

Within the realm of service robotics, researchers have placed a great amount of effort into
learning, understanding, and representing motions as manipulations for task execution by …

We present an approach that learns to act from raw motion data for interactive character
animation. Our motion generator takes a continuous stream of control inputs and generates …

In recent decades, modern developed societies have experienced a significant increase in
life expectancy, resulting in a significant degree of aging in the population. This …

In this paper, we propose an approach for learning task specifications automatically, by
observing human demonstrations. Using this approach allows a robot to combine …

Purpose The purpose of this paper is to develop a planner for finding an optimal assembly
sequence for robots to assemble objects. Each manipulated object in the optimal sequence …