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08/14/2023
Auditory cueing strategy for stride length and cadence modification: a feasibility study with healthy adults
People with Parkinson's Disease experience gait impairments that signifi...
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07/28/2023
Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review
Robotic vision for human-robot interaction and collaboration is a critic...
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06/16/2023
Learning to Assist and Communicate with Novice Drone Pilots for Expert Level Performance
Multi-task missions for unmanned aerial vehicles (UAVs) involving inspec...
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06/14/2023
Towards vision-based dual arm robotic fruit harvesting
Interest in agricultural robotics has increased considerably in recent y...
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04/24/2023
A Benchmark for Cycling Close Pass Near Miss Event Detection from Video Streams
Cycling is a healthy and sustainable mode of transport. However, interac...
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03/20/2023
Rotating Objects via In-Hand Pivoting using Vision, Force and Touch
We propose a robotic manipulation system that can pivot objects on a sur...
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01/07/2023
Crafting with a Robot Assistant: Use Social Cues to Inform Adaptive Handovers in Human-Robot Collaboration
We study human-robot handovers in a naturalistic collaboration scenario,...
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12/11/2022
Human-Robot Team Performance Compared to Full Robot Autonomy in 16 Real-World Search and Rescue Missions: Adaptation of the DARPA Subterranean Challenge
Human operators in human-robot teams are commonly perceived to be critic...
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10/27/2022
Adapting Neural Models with Sequential Monte Carlo Dropout
The ability to adapt to changing environments and settings is essential ...
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10/11/2022
In-Hand Gravitational Pivoting Using Tactile Sensing
We study gravitational pivoting, a constrained version of in-hand manipu...
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09/12/2022
Partial Observability during DRL for Robot Control
Deep Reinforcement Learning (DRL) has made tremendous advances in both s...
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03/25/2022
Quantifying Demonstration Quality for Robot Learning and Generalization
Learning from Demonstration (LfD) seeks to democratize robotics by enabl...
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03/17/2022
Natural Language Communication with a Teachable Agent
Conversational teachable agents offer a promising platform to support le...
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03/16/2022
On-The-Go Robot-to-Human Handovers with a Mobile Manipulator
Existing approaches to direct robot-to-human handovers are typically imp...
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02/25/2022
Visibility Maximization Controller for Robotic Manipulation
Occlusions caused by a robot's own body is a common problem for closed-l...
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02/07/2022
Reinforcement Learning for Shared Autonomy Drone Landings
Novice pilots find it difficult to operate and land unmanned aerial vehi...
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10/30/2021
Identifying Functions and Behaviours of Social Robots during Learning Activities: Teachers' Perspective
With advances in artificial intelligence, research is increasingly explo...
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09/21/2021
A Proposed Set of Communicative Gestures for Human Robot Interaction and an RGB Image-based Gesture Recognizer Implemented in ROS
We propose a set of communicative gestures and develop a gesture recogni...
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02/24/2021
Memory-based Deep Reinforcement Learning for POMDP
A promising characteristic of Deep Reinforcement Learning (DRL) is its c...
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01/11/2021
Aligning Robot's Behaviours and Users' Perceptions Through Participatory Prototyping
Robots are increasingly being deployed in public spaces. However, the ge...
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11/27/2020
Human-in-the-loop Cueing Strategy for Gait Rehabilitation
External feedback in the form of visual, auditory and tactile cues has b...
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11/26/2020
Learning to Assist Drone Landings
Unmanned aerial vehicles (UAVs) are often used for navigating dangerous ...
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11/09/2020
Joint Estimation of Expertise and Reward Preferences From Human Demonstrations
When a robot learns from human examples, most approaches assume that the...
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10/16/2020
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning
Pursuit-evasion is the problem of capturing mobile targets with one or m...
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08/24/2020
Strawberry Detection using Mixed Training on Simulated and Real Data
This paper demonstrates how simulated images can be useful for object de...
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08/22/2020
Fast Approximate Multi-output Gaussian Processes
Gaussian processes regression models are an appealing machine learning m...
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08/05/2020
Learning from Sparse Demonstrations
This paper proposes an approach which enables a robot to learn an object...
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07/25/2020
Object Handovers: a Review for Robotics
This article surveys the literature on human-robot object handovers. A h...
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06/23/2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning
Multi-step (also called n-step) methods in reinforcement learning (RL) h...
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06/10/2020
Affective Movement Generation using Laban Effort and Shape and Hidden Markov Models
Body movements are an important communication medium through which affec...
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05/08/2020
Active Preference Learning using Maximum Regret
We study active preference learning as a framework for intuitively speci...
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05/02/2020
Supportive Actions for Manipulation in Human-Robot Coworker Teams
The increasing presence of robots alongside humans, such as in human-rob...
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07/24/2019
Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation
An important challenge in human robot interaction (HRI) is enabling non-...
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04/14/2019
Learning to Engage with Interactive Systems: A field Study
Physical agents that can autonomously generate engaging, life-like behav...
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01/28/2019
Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions
Specifying complex task behaviours while ensuring good robot performance...
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08/31/2018
A Multi-layer Gaussian Process for Motor Symptom Estimation in People with Parkinson's Disease
The assessment of Parkinson's disease (PD) poses a significant challenge...
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08/08/2018
Parkinson's Disease Assessment from a Wrist-Worn Wearable Sensor in Free-Living Conditions: Deep Ensemble Learning and Visualization
Parkinson's Disease (PD) is characterized by disorders in motor function...
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06/19/2018
Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems
Perfect tracking control for real-world Euler-Lagrange systems is challe...
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03/21/2018
Inverse Optimal Control with Incomplete Observations
In this article, we consider the inverse optimal control problem given i...
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06/02/2017
Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks
While convolutional neural networks (CNNs) have been successfully applie...
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10/22/2016
Exercise Motion Classification from Large-Scale Wearable Sensor Data Using Convolutional Neural Networks
The ability to accurately identify human activities is essential for dev...
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04/08/2015
