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

Understanding human tasks through video observations is an essential capability of
intelligent agents. The challenges of such capability lie in the difficulty of generating a …

Grasping and assembly are essential tasks in high-precision robotic manipulation for
industrial manufacturing as well as for home service applications. Many efforts have been …

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 …

Data sets are crucial not only for model learning and evaluation but also to advance
knowledge on human behavior, thus fostering mutual inspiration between neuroscience and …

Flexible task planning continues to pose a difficult challenge for robots, where a robot is
unable to creatively adapt their task plans to new or unseen problems, which is mainly due …

Task planning for robotic cooking involves generating a sequence of actions for a robot to
prepare a meal successfully. This paper introduces a novel task tree generation pipeline …

Pouring is one of the most commonly executed tasks in humans' daily lives, whose accuracy
is affected by multiple factors, including the type of material to be poured and the geometry …

Automated food detection and recognition methods have been studied to enhance end-user
life. However, most existing research focused on food ingredient type recognition, with little …

We build upon the functional object-oriented network (FOON), a structured knowledge
representation which is constructed from observations of human activities and …