Understanding the dynamics of unknown object is crucial for collaborativ...
Autonomous agriculture applications (e.g., inspection, phenotyping, pluc...
We build rearticulable models for arbitrary everyday man-made objects
co...
The analysis and use of egocentric videos for robotic tasks is made
chal...
Prior works for reconstructing hand-held objects from a single image rel...
Mobile manipulation tasks such as opening a door, pulling open a drawer,...
In this paper, we analyze the behavior of existing techniques and design...
Sense-react systems (e.g. robotics and AR/VR) have to take highly respon...
We introduce TIDEE, an embodied agent that tidies up a disordered scene ...
This paper tackles the problem of learning value functions from undirect...
With over 50 million car sales annually and over 1.3 million deaths ever...
Interactive object understanding, or what we can do to objects and how i...
In this paper, we explore how we can build upon the data and models of
I...
The COVID-19 pandemic has disrupted people's lives driving them to act i...
We describe a system for visually guided autonomous navigation of
under-...
Recent advancements in natural language generation has raised serious
co...
Smart homes require every device inside them to be connected with each o...
Generative Adversarial Network (GAN) and its variants have shown promisi...
Semantic cues and statistical regularities in real-world environment lay...
The ability to autonomously explore and navigate a physical space is a
f...
DeepRacer is a platform for end-to-end experimentation with RL and can b...
Training deep neural networks from scratch on natural language processin...
We address the problem of effectively composing skills to solve sparse-r...
Hashtags in online social media have become a way for users to build
com...
This paper introduces PyRobot, an open-source robotics framework for res...
Hierarchies are an effective way to boost sample efficiency in reinforce...
Model-based control is a popular paradigm for robot navigation because i...
Numerous past works have tackled the problem of task-driven navigation. ...
Humans routinely retrace paths in a novel environment both forwards and
...
The ability to segment unknown objects in depth images has potential to
...
Skillful mobile operation in three-dimensional environments is a primary...
This works presents a formulation for visual navigation that unifies map...
The goal of this paper is to take a single 2D image of a scene and recov...
We introduce a neural architecture for navigation in novel environments....
In this work we propose a technique that transfers supervision between i...
Two recent approaches have achieved state-of-the-art results in image
ca...
In this paper we describe the Microsoft COCO Caption dataset and evaluat...
The goal of this work is to replace objects in an RGB-D scene with
corre...
This paper presents a novel approach for automatically generating image
...
In this paper we study the problem of object detection for RGB-D images ...