Complex manipulation tasks often require robots with complementary capabilities to
collaborate. We introduce a benchmark for L anguag E-Conditioned M ulti-robot MA …

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 …

The inherent probabilistic nature of Large Language Models (LLMs) introduces an element
of unpredictability, raising concerns about potential discrepancies in their output. This paper …

Meal preparation is an important instrumental activity of daily living (IADL). While existing
research has explored robotic assistance in meal preparation tasks such as cutting and …

A good task policy should explicitly interpret the preconditions of actions and the
composition structure of task. We aim to automatically learn such a task policy from videos …

Drawing inspiration from the mechanism of human skill acquisition, imitation learning has
demonstrated remarkable performance. Over recent years, modelbased imitation learning …

Cooking tasks are characterized by large changes in the state of the food, which is one of
the major challenges in robot execution of cooking tasks. In particular, cooking using a stove …

It is difficult to effectively operate a dual-arm robot using only the information written in a
cooking recipe. To cope with this problem, this paper proposes a graph-based approach on …

Vision and Robotic technologies are progressively becoming ubiquitous for automating and
digitizing quality control in the food industry. This paper examines the crucial role of …

Although there is a growing demand for cooking behaviors as one of the expected tasks for
robots, a series of cooking behaviors based on new recipe descriptions by robots in the real …