One of the big challenges in robotics is the generalization necessary for performing
unknown tasks in unknown environments on unknown objects. For us humans, this …

It is natural and efficient to use human natural language (NL) directly to instruct robot task
executions without prior user knowledge of instruction patterns. Currently, NL-instructed …

Intent determination and slot filling are two prominent research areas related to natural
language understanding (NLU). In a multi-turn NLU system, contextual information from …

Natural-language-facilitated human–robot cooperation refers to using natural language to
facilitate interactive information sharing and task executions with a common goal constraint …

Intention mining is a promising research area of data mining that aims to determine end-
users' intentions from their past activities stored in the logs, which note users' interaction with …

Robots are increasingly transitioning from specialized, single-task machines to general-
purpose systems that operate in diverse and dynamic environments. To address the …

Hand-crafted feature functions are usually designed based on the domain knowledge of a
presumably controlled environment and often fail to generalize, as the statistics of real-world …

To provide timely and appropriate assistance, robots must have the capability of proactively
understanding a user's personal needs, the so-called human intention inference. In human …

Intelligent robotic assistance requires a robot to accurately understand human behavior.
Many researchers have explored human-object interactions to decode behavior-related …

In terms of the level of technological capability in the world today, the use of automated
robotics is common in various fields. There are large projects going on in many industries …