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Computer Science

D-Index
46
Citations
11768
World Ranking
6720
National Ranking
212

Overview

Dana Kulic is a researcher affiliated with Monash University in Australia, contributing extensively to the fields of Computer Science and Engineering. Their body of work spans various specialized areas including Artificial Intelligence, Control and Systems Engineering, Social Psychology, Computer Vision and Pattern Recognition, and Biomedical Engineering.

Their research interests are reflected in key topics such as:

  • Robot Manipulation and Learning
  • Social Robot Interaction and Human-Robot Interaction (HRI)
  • Reinforcement Learning in Robotics
  • Balance, Gait, and Falls Prevention
  • Muscle Activation and Electromyography Studies
  • Human-Automation Interaction and Safety
  • Human Pose and Action Recognition

Kulic has published prolifically, with a notable number of papers appearing in venues such as arXiv (Cornell University), IEEE Robotics and Automation Letters, ACM Transactions on Human-Robot Interaction, SSRN Electronic Journal, and IEEE Transactions on Robotics.

Recent significant publications include:

  • Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review, 2022, ACM Transactions on Human-Robot Interaction
  • High-Resolution Motor State Detection in Parkinson's Disease Using Convolutional Neural Networks, 2020, Scientific Reports
  • Lower Body Kinematics Estimation from Wearable Sensors for Walking and Running: A Deep Learning Approach, 2020, Gait & Posture
  • Memory-based Deep Reinforcement Learning for POMDPs, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Haptics in Teleoperated Medical Interventions: Force Measurement, Haptic Interfaces and Their Influence on User's Performance, 2020, IEEE Transactions on Biomedical Engineering

The researcher collaborates frequently with other scholars, including Elizabeth A. Croft, Akansel Cosgun, Leimin Tian, Pamela Carreno-Medrano, and Lingheng Meng. These collaborations indicate a networked approach to advancing robotics, human-robot interaction, and related technologies.

Overall, Dana Kulic's publication record demonstrates a strong focus on combining theoretical and applied research in artificial intelligence and robotics, with an emphasis on enhancing human-robot collaboration, reinforcement learning techniques, and applications in biomedical and rehabilitation contexts.

Best Publications

  • Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots

    Christoph Bartneck;Dana Kulic;Elizabeth A. Croft;Susana Zoghbi

  • Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks

    Terry T. Um;Franz M. J. Pfister;Daniel Pichler;Satoshi Endo

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

    Dana Kulić;Christian Ott;Dongheui Lee;Junichi Ishikawa

  • Affective State Estimation for Human–Robot Interaction

    Dana Kulic;Elizabeth A. Croft

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

    Dana Kulić;Wataru Takano;Yoshihiko Nakamura

  • Pre-collision safety strategies for human-robot interaction

    Dana Kulić;Elizabeth Croft

  • Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation

    Michelle Karg;Ali-Akbar Samadani;Rob Gorbet;Kolja Kuhnlenz

  • Safe planning for human-robot interaction

    Dana Kulić;Elizabeth A. Croft

  • Real-time safety for human–robot interaction☆

    Dana Kulić;Elizabeth A. Croft

  • Measuring the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots

    Christoph Bartneck;Dana Kulic;Elizabeth Croft

  • Stable Gaussian process based tracking control of Euler–Lagrange systems

    Thomas Beckers;Dana Kulić;Sandra Hirche

  • Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning

    Cristino de Souza;Rhys Newbury;Akansel Cosgun;Pedro Castillo

  • Online Segmentation and Clustering From Continuous Observation of Whole Body Motions

    D. Kulic;W. Takano;Y. Nakamura

  • Online Segmentation of Human Motion for Automated Rehabilitation Exercise Analysis

    Jonathan Feng-Shun Lin;Dana Kulic

  • Human pose recovery using wireless inertial measurement units.

    Jonathan F S Lin;Dana Kulić

  • Object Handovers: A Review for Robotics

    Valerio Ortenzi;Akansel Cosgun;Tommaso Pardi;Wesley P. Chan

  • Anxiety detection during human-robot interaction

    D. Kulic;E. Croft

  • Movement Primitive Segmentation for Human Motion Modeling: A Framework for Analysis

    Jonathan Feng-Shun Lin;Michelle Karg;Dana Kulic

  • Physiological and subjective responses to articulated robot motion

    Dana Kulić;Elizabeth Croft

  • Exercise motion classification from large-scale wearable sensor data using convolutional neural networks

    Terry Taewoong Um;Vahid Babakeshizadeh;Dana Kulic

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

    Cecille Freeman;Dana Kulić;Otman Basir

  • 2016 International Symposium on Experimental Robotics

    Dana Kulic;Yoshihiko Nakamura;Oussama Khatib;Gentiane Venture

Frequent Co-Authors

Elizabeth A. Croft
Elizabeth A. Croft Monash University
Yoshihiko Nakamura
Yoshihiko Nakamura Mohamed bin Zayed University of Artificial Intelligence
Sandra Hirche
Sandra Hirche Technical University of Munich
Stephen L. Smith
Stephen L. Smith University of Guelph
Jesse Hoey
Jesse Hoey University of Waterloo
Raphaël Dumas
Raphaël Dumas Claude Bernard University Lyon 1
Dongheui Lee
Dongheui Lee Technical University of Munich
Otman A. Basir
Otman A. Basir University of Waterloo
Andres O. Ceballos-Baumann
Andres O. Ceballos-Baumann Technical University of Munich

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