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Inverse optimal control from incomplete trajectory observations

The International journal of robotics research, 2021-06, Vol.40 (6-7), p.848-865

2021

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Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots

International journal of social robotics, 2009-01, Vol.1 (1), p.71-81

2009

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Inverse optimal control with time-varying objectives: application to human jumping movement analysis

Scientific reports, 2020-07, Vol.10 (1), p.11174-11174, Article 11174

2020

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Pre-collision safety strategies for human-robot interaction

Autonomous robots, 2007-02, Vol.22 (2), p.149-164

2007

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Incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains

The International journal of robotics research, 2008-07, Vol.27 (7), p.761-784

2008

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Strawberry Water Content Estimation and Ripeness Classification Using Hyperspectral Sensing

Agronomy (Basel), 2022-02, Vol.12 (2), p.425

2022

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Identifying Functions and Behaviours of Social Robots for In-Class Learning Activities: Teachers’ Perspective

International journal of social robotics, 2022-04, Vol.14 (3), p.747-761

2022

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Human pose recovery using wireless inertial measurement units

Physiological measurement, 2012-12, Vol.33 (12), p.2099-2115

2012

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Adaptive auditory assistance for stride length cadence modification in older adults and people with Parkinson's

Frontiers in physiology, 2024-02, Vol.15, p.1284236-1284236

2024

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Stable Gaussian process based tracking control of Euler–Lagrange systems

Automatica (Oxford), 2019-05, Vol.103, p.390-397

2019

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Adaptive cueing strategy for gait modification: A case study using auditory cues

Frontiers in neurorobotics, 2023-03, Vol.17, p.1127033-1127033

2023

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Physiological and subjective responses to articulated robot motion

Robotica, 2007-01, Vol.25 (1), p.13-27

2007

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Inertial measurement unit-based pose estimation: Analyzing and reducing sensitivity to sensor placement and body measures

Journal of rehabilitation and assistive technologies engineering, 2019-01, Vol.6, p.2055668318813455-2055668318813455

2019

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Lower body kinematics estimation from wearable sensors for walking and running: A deep learning approach

Gait & posture, 2021-01, Vol.83, p.185-193

2021

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2016 International Symposium on Experimental Robotics

1, 2017

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Classification-based Segmentation for Rehabilitation Exercise Monitoring

Journal of rehabilitation and assistive technologies engineering, 2018-01, Vol.5, p.2055668318761523-2055668318761523

2018

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An evaluation of classifier-specific filter measure performance for feature selection

Pattern recognition, 2015-05, Vol.48 (5), p.1812-1826

2015

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Reinforcement learning for shared autonomy drone landings

Autonomous robots, 2023-12, Vol.47 (8), p.1419-1438

2023

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High-Resolution Motor State Detection in Parkinson’s Disease Using Convolutional Neural Networks

Scientific reports, 2020-04, Vol.10 (1), p.5860-5860, Article 5860

2020

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A Data-Driven Approach to Predict Fatigue in Exercise Based on Motion Data from Wearable Sensors or Force Plate

Sensors (Basel, Switzerland), 2021-02, Vol.21 (4), p.1499

2021

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Robot Expressive Motions: A Survey of Generation and Evaluation Methods

ACM transactions on human-robotic interaction, 2019-12, Vol.8 (4), p.1-17

2019

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Perception and Generation of Affective Hand Movements

International journal of social robotics, 2013-01, Vol.5 (1), p.35-51

2013

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Real-time forecasting of exercise-induced fatigue from wearable sensors

Computers in biology and medicine, 2022-09, Vol.148, p.105905-105905, Article 105905

2022

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Incremental learning of full body motion primitives and their sequencing through human motion observation

The International journal of robotics research, 2012-03, Vol.31 (3), p.330-345

2012

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Improving user specifications for robot behavior through active preference learning: Framework and evaluation

The International journal of robotics research, 2020-05, Vol.39 (6), p.651-667

2020

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Inverse optimal control from incomplete trajectory observations

Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots

Inverse optimal control with time-varying objectives: application to human jumping movement analysis

Pre-collision safety strategies for human-robot interaction

Incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains

Strawberry Water Content Estimation and Ripeness Classification Using Hyperspectral Sensing

Identifying Functions and Behaviours of Social Robots for In-Class Learning Activities: Teachers’ Perspective

Human pose recovery using wireless inertial measurement units

Adaptive auditory assistance for stride length cadence modification in older adults and people with Parkinson's

Stable Gaussian process based tracking control of Euler–Lagrange systems

Adaptive cueing strategy for gait modification: A case study using auditory cues

Physiological and subjective responses to articulated robot motion

Inertial measurement unit-based pose estimation: Analyzing and reducing sensitivity to sensor placement and body measures

Lower body kinematics estimation from wearable sensors for walking and running: A deep learning approach

2016 International Symposium on Experimental Robotics

Classification-based Segmentation for Rehabilitation Exercise Monitoring

An evaluation of classifier-specific filter measure performance for feature selection

Reinforcement learning for shared autonomy drone landings

High-Resolution Motor State Detection in Parkinson’s Disease Using Convolutional Neural Networks

A Data-Driven Approach to Predict Fatigue in Exercise Based on Motion Data from Wearable Sensors or Force Plate

Robot Expressive Motions: A Survey of Generation and Evaluation Methods

Perception and Generation of Affective Hand Movements

Real-time forecasting of exercise-induced fatigue from wearable sensors

Incremental learning of full body motion primitives and their sequencing through human motion observation

Improving user specifications for robot behavior through active preference learning: Framework and evaluation

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