630 citations · 1.3k across the 25 of their papers we have counts for
16 papers · 1 filter
Auditory cueing strategy for stride length and cadence modification: a feasibility study with healthy adults
Tina LY Wu, Anna Murphy, Chao Chen +1
People with Parkinson's Disease experience gait impairments that significantly impact their quality of life. Visual, auditory, and tactile cues can alleviate gait impairments, but…
Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review
Nicole Robinson, Brendan Tidd, Dylan Campbell +2
Robotic vision for human-robot interaction and collaboration is a critical process for robots to collect and interpret detailed information related to human actions, goals, and pre…
Varying Joint Patterns and Compensatory Strategies Can Lead to the Same Functional Gait Outcomes: A Case Study
T. Bacek, M. Sun, H. Liu +4
This paper analyses joint-space walking mechanisms and redundancies in delivering functional gait outcomes. Multiple biomechanical measures are analysed for two healthy male adults…
Quantifying Demonstration Quality for Robot Learning and Generalization
Maram Sakr, Zexi Jesse Li, H. F. Machiel Van der Loos +2
Learning from Demonstration (LfD) seeks to democratize robotics by enabling diverse end-users to teach robots to perform a task by providing demonstrations. However, most LfD techn…
Identifying Functions and Behaviours of Social Robots during Learning Activities: Teachers' Perspective
Jessy Ceha, Edith Law, Dana Kulić +2
With advances in artificial intelligence, research is increasingly exploring the potential functions that social robots can play in education. As teachers are a critical stakeholde…
A Proposed Set of Communicative Gestures for Human Robot Interaction and an RGB Image-based Gesture Recognizer Implemented in ROS
Jia Chuan A. Tan, Wesley P. Chan, Nicole L. Robinson +2
We propose a set of communicative gestures and develop a gesture recognition system with the aim of facilitating more intuitive Human-Robot Interaction (HRI) through gestures. Firs…
Aligning Robot's Behaviours and Users' Perceptions Through Participatory Prototyping
Pamela Carreno-Medrano, Leimin Tian, Aimee Allen +6
Robots are increasingly being deployed in public spaces. However, the general population rarely has the opportunity to nominate what they would prefer or expect a robot to do in th…
Joint Estimation of Expertise and Reward Preferences From Human Demonstrations
Pamela Carreno-Medrano, Stephen L. Smith, Dana Kulic
When a robot learns from human examples, most approaches assume that the human partner provides examples of optimal behavior. However, there are applications in which the robot lea…
Human-in-the-loop Auditory Cueing Strategy for Gait Modification
Tina LY Wu, Anna Murphy, Chao Chen +1
External feedback in the form of visual, auditory and tactile cues has been used to assist patients to overcome mobility challenges. However, these cues can become less effective o…
Learning to Assist Drone Landings
Kal Backman, Dana Kulić, Hoam Chung
Unmanned aerial vehicles (UAVs) are often used for navigating dangerous terrains, however they are difficult to pilot. Due to complex input-output mapping schemes, limited percepti…
Learning from Sparse Demonstrations
Wanxin Jin, Todd D. Murphey, Dana Kulić +2
This paper develops the method of Continuous Pontryagin Differentiable Programming (Continuous PDP), which enables a robot to learn an objective function from a few sparsely demons…
Object Handovers: a Review for Robotics
Valerio Ortenzi, Akansel Cosgun, Tommaso Pardi +3
This article surveys the literature on human-robot object handovers. A handover is a collaborative joint action where an agent, the giver, gives an object to another agent, the rec…
Active Preference Learning using Maximum Regret
Nils Wilde, Dana Kulic, Stephen L. Smith
We study active preference learning as a framework for intuitively specifying the behaviour of autonomous robots. In active preference learning, a user chooses the preferred behavi…
Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation
Nils Wilde, Alexandru Blidaru, Stephen L. Smith +1
An important challenge in human-robot interaction (HRI) is enabling non-expert users to specify complex tasks for autonomous robots. Recently, active preference learning has been a…
Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions
Nils Wilde, Dana Kulic, Stephen L. Smith
Specifying complex task behaviours while ensuring good robot performance may be difficult for untrained users. We study a framework for users to specify rules for acceptable behavi…
Spline Path Following for Redundant Mechanical Systems
Rajan Gill, Dana Kulić, Christopher Nielsen
Path following controllers make the output of a control system approach and traverse a pre-specified path with no apriori time parametrization. In this paper we present a method fo…