The focus of this thesis is to propose an automation solution for our group’s further experiment requirements on SSBM-composite. The design of the flexible robotic …
Humans are able to solve complex problems by distilling their knowledge of the world into simplified task-relevant representations and creating plans to achieve their goals. …
Just as an interconnected-computerized world has produced large amounts of data resulting in exciting challenges for machine learning, connected households with robots and smart devices …
With few exceptions, robots today are unable to quickly acquire new manipulation skills in the real world. The modern data-driven approach to skill learning is …
Advancements in machine learning techniques have encouraged scholars to focus on convolutional neural network (CNN) based solutions for object detection and pose estimation tasks. Most …
Future collaborative robots must be capable of finding objects. As such a fundamental skill, we expect object search to eventually become an off-the-shelf capability for …
Object search is a central problem for human-robot interaction, as finding, localizing, and then grasping an object is a first step for almost anything a …
In this work, I present an implemented model that can learn interactively from natural language, enabling non-expert human trainers to convey complex tasks to machines …
In order to intuitively and efficiently collaborate with humans, robots must learn to complete tasks specified using natural language. Natural language instructions can have many …
Robotic perception often fails on reflective and transparent surfaces. We will describe a new method of passive RGB sensing which uses a calibrated camera located …
Conversational assistive robots have the potential to help human users accomplish a wide range of daily tasks, such as cooking meals, performing exercises, or operating …
We consider autonomous robots as having associated control policies that determine their actions in response to perceptions of the environment. Often, these controllers are explicitly …
Robotic perception is a key step in any autonomous robotic task including manipulation, localization and planning. The more precise the perception system is, the more …
This paper outlines a creative, practice-based approach to exploring the entanglements between people and information technologies, especially as it relates to the role of surveillance …
