People with Parkinson's Disease experience gait impairments that
signifi...
Robotic vision for human-robot interaction and collaboration is a critic...
Multi-task missions for unmanned aerial vehicles (UAVs) involving inspec...
Interest in agricultural robotics has increased considerably in recent y...
Cycling is a healthy and sustainable mode of transport. However, interac...
We propose a robotic manipulation system that can pivot objects on a sur...
We study human-robot handovers in a naturalistic collaboration scenario,...
Human operators in human-robot teams are commonly perceived to be critic...
The ability to adapt to changing environments and settings is essential ...
We study gravitational pivoting, a constrained version of in-hand
manipu...
Deep Reinforcement Learning (DRL) has made tremendous advances in both
s...
Learning from Demonstration (LfD) seeks to democratize robotics by enabl...
Conversational teachable agents offer a promising platform to support
le...
Existing approaches to direct robot-to-human handovers are typically
imp...
Occlusions caused by a robot's own body is a common problem for closed-l...
Novice pilots find it difficult to operate and land unmanned aerial vehi...
With advances in artificial intelligence, research is increasingly explo...
We propose a set of communicative gestures and develop a gesture recogni...
A promising characteristic of Deep Reinforcement Learning (DRL) is its
c...
Robots are increasingly being deployed in public spaces. However, the ge...
External feedback in the form of visual, auditory and tactile cues has b...
Unmanned aerial vehicles (UAVs) are often used for navigating dangerous
...
When a robot learns from human examples, most approaches assume that the...
Pursuit-evasion is the problem of capturing mobile targets with one or m...
This paper demonstrates how simulated images can be useful for object
de...
Gaussian processes regression models are an appealing machine learning m...
This paper proposes an approach which enables a robot to learn an object...
This article surveys the literature on human-robot object handovers. A
h...
Multi-step (also called n-step) methods in reinforcement learning (RL) h...
Body movements are an important communication medium through which affec...
We study active preference learning as a framework for intuitively speci...
The increasing presence of robots alongside humans, such as in human-rob...
An important challenge in human robot interaction (HRI) is enabling
non-...
Physical agents that can autonomously generate engaging, life-like behav...
Specifying complex task behaviours while ensuring good robot performance...
The assessment of Parkinson's disease (PD) poses a significant challenge...
Parkinson's Disease (PD) is characterized by disorders in motor function...
Perfect tracking control for real-world Euler-Lagrange systems is challe...
In this article, we consider the inverse optimal control problem given
i...
While convolutional neural networks (CNNs) have been successfully applie...
The ability to accurately identify human activities is essential for
dev...
Identification of falls while performing normal activities of daily livi...