As autonomous driving technology matures, safety and robustness of its k...
Capturing high-dimensional social interactions and feasible futures is
e...
Modeling and simulating soft robot hands can aid in design iteration for...
We propose an end-to-end deep learning approach to rectify fisheye image...
Self-training based on pseudo-labels has emerged as a dominant approach ...
The fast-growing demand for fully autonomous aerial operations in shared...
If a picture paints a thousand words, sound may voice a million. While r...
It has been shown that accurate representation in media improves the
wel...
Generalisation to unseen contexts remains a challenge for embodied navig...
The feasibility of collecting a large amount of expert demonstrations ha...
We propose developing an integrated system to keep autonomous unmanned
a...
We introduce an approach to generating videos based on a series of given...
Painting is an artistic process of rendering visual content that achieve...
Seamlessly integrating rules in Learning-from-Demonstrations (LfD) polic...
Predicting pedestrian motion is essential for developing socially-aware
...
As robots across domains start collaborating with humans in shared
envir...
Under shared autonomy, wheelchair users expect vehicles to provide safe ...
We present the results of our autonomous racing virtual challenge, based...
Generating images that fit a given text description using machine learni...
A robotic system of multiple unmanned ground vehicles (UGVs) and unmanne...
Generating images that fit a given text description using machine learni...
Autonomous Exploration Development Environment is an open-source reposit...
We present our work on a fast route planner based on visibility graph. T...
To be viable for safety-critical applications, such as autonomous drivin...
Pilots operating aircraft in un-towered airspace rely on their situation...
As an important task in multimodal context understanding, Text-VQA (Visu...
Recent advances in the areas of multimodal machine learning and artifici...
Contemporary approaches to perception, planning, estimation, and control...
In this paper, we propose a self-supervised learningmethod for multi-obj...
The advent of deep learning has brought an impressive advance to monocul...
Robot navigation in crowded public spaces is a complex task that require...
Visual perception of the objects in a 3D environment is a key to success...
For effective human-robot teaming, it is importantfor the robots to be a...
The objective of most Reinforcement Learning painting agents is to minim...
Effective feature-extraction is critical to models' contextual understan...
Robots navigating in human crowds need to optimize their paths not only ...
In image captioning where fluency is an important factor in evaluation, ...
Robotic painting has been a subject of interest among both artists and
r...
We propose a novel way to learn, detect and extract patterns in sequenti...
In this paper, we present a multimodal dialogue system for Conversationa...
Natural Language Image Editing (NLIE) aims to use natural language
instr...
In densely populated environments, socially compliant navigation is crit...
One of the key challenges in the semantic mapping problem in postdisaste...
Robots that navigate through human crowds need to be able to plan safe,
...
Robotic commands in natural language usually contain various spatial
des...