A key challenge in intelligent robotics is creating robots that are capable of directly
interacting with the world around them to achieve their goals. The last decade has seen …

In this work we study the problem of using referential language to identify common objects in
real-world 3D scenes. We focus on a challenging setup where the referred object belongs to …

Geometric organization of objects into semantically meaningful arrangements pervades the
built world. As such, assistive robots operating in warehouses, offices, and homes would …

Understanding human activities and object affordances are two very important skills,
especially for personal robots which operate in human environments. In this work, we …

Sequential manipulation tasks require a robot to perceive the state of an environment and
plan a sequence of actions leading to a desired goal state, where the ability to reason about …

Trustworthy and explainable structural health monitoring (SHM) of bridges is crucial for
ensuring the safe maintenance and operation of deficient structures. Unfortunately, existing …

Understanding spatial relations (eg, laptop on table) in visual input is important for both
humans and robots. Existing datasets are insufficient as they lack large-scale, high-quality …

In order to implement more accurate and fine-grained monitoring of robot-environment
interaction (REI) in real time, this article extends the concept of digital twin (DT) to REI …

In this book the author's theoretical framework builds on linguistic and psychological
research, arguing that similar image-schematic notions should be grouped together into …

Robotic grasping is one of the most important fields in robotics, in which great progress has
been made in recent years with the help of convolutional neural network (CNN). However …