As mobile robots are increasingly introduced into our daily lives, it grows ever more
imperative that these robots navigate with and among people in a safe and socially …

In the past few years, the field of computer vision has gone through a revolution fueled
mainly by the advent of large datasets and the adoption of deep convolutional neural …

Global demographics trend toward an aging population. Hence, there will be an increased
social demand for elderly care. Recently, assistive technologies such as service robots have …

Scan data of urban environments often include representations of dynamic objects, such as
vehicles, pedestrians, and so forth. However, when it comes to constructing a 3D point cloud …

Autonomous systems will play an essential role in many applications across diverse
domains including space, marine, air, field, road, and service robotics. They will assist us in …

Data-driven approaches to solving robotic tasks have gained a lot of traction in recent years.
However, most existing policies are trained on large-scale datasets collected in curated lab …

We develop a taxonomy that categorizes HRI failure types and their impact on trust to
structure the broad range of knowledge contributions. We further identify research gaps in …

Robot planning in partially observable domains is difficult, because a robot needs to
estimate the current state and plan actions at the same time. When the domain includes …

Despite the recent success of state-of-the-art deep learning algorithms in object recognition,
when these are deployed as-is on a mobile service robot, we observed that they failed to …

In the past ten years, the use of 3D Time-of-Flight (ToF) LiDARs in mobile robotics has
grown rapidly. Based on our accumulation of relevant research, this article systematically …