Abstract We introduce One-shot Open Affordance Learning (OOAL) where a model is trained
with just one example per base object category but is expected to identify novel objects and …

While large language models (LLMs) are successful in completing various language
processing tasks, they easily fail to interact with the physical world by generating control …

Evacuation lighting is a crucial component of cinema safety, significantly impacting
operational safety and evacuation efficiency. It plays a key role in enhancing evacuation …

Intelligent agents accomplish different tasks by utilizing various objects based on their
affordance, but how to select appropriate objects according to task context is not well …

The control of multi-robot systems, particularly in the pursuit-evasion (PE) with multiple
robots, has gained significant attention in both academic and non-academic settings …

Picking up an entangled object is a difficult manipulation task due to its rich contact
dynamics. Most existing solutions fail to produce grasp poses to enable reliable …

While large language models (LLMs) are successful in completing various language
processing tasks, they easily fail to interact with the physical world properly such as …

Learning object affordances is an effective tool in the field of robot learning. While the data-
driven models investigate affordances of single or paired objects, there is a gap in the …

In the field of autonomous driving, safety has always been a top priority, especially in recent
years with the development and increasing application of deep reinforcement learning in …

Recent advances in large language models (LLMs) have led to significant progress in
robotics, enabling embodied agents to better understand and execute open-ended tasks …