World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
5687
World Ranking
11239
National Ranking
97

Overview

Justus Piater is a researcher affiliated with the University of Innsbruck in Austria. Their work spans multiple fields within computer science and engineering, with a focus on robotics and artificial intelligence.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these fields, their subfields of expertise cover:

  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering
  • Computer Science Applications

Justus Piater's research addresses a variety of topics, notably:

  • Robot Manipulation and Learning
  • Reinforcement Learning in Robotics
  • AI-based Problem Solving and Planning
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications

Their publication record includes journal articles and book chapters across several established venues and publishers. Frequent publication venues include:

  • arXiv (Cornell University)
  • Robotics and Autonomous Systems
  • Journal of Artificial Intelligence Research
  • Institutional Research Information System (Università degli Studi di Trento)
  • Frontiers in Robotics and AI

They have also contributed to edited books published by:

  • Springer Science+Business Media
  • Springer International Publishing

Some recent representative papers authored or co-authored by Justus Piater include:

  • "Continual learning from demonstration of robotics skills" (2023), published in Robotics and Autonomous Systems
  • "DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction" (2022), published in Journal of Artificial Intelligence Research
  • "Skill Learning by Autonomous Robotic Playing Using Active Learning and Exploratory Behavior Composition" (2020), published in Frontiers in Robotics and AI
  • "Manipulation Planning Using Object-Centered Predicates and Hierarchical Decomposition of Contextual Actions" (2020), published in IEEE Robotics and Automation Letters
  • "Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features" (2020), published in Institutional Research Information System (Università degli Studi di Trento)

Their frequent co-authors include:

  • Matteo Saveriano
  • Jakob Hollenstein
  • Erwan Renaudo
  • Sayantan Auddy
  • Antonio Rodríguez-Sánchez

Best Publications

  • Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?

    N. Kruger;P. Janssen;S. Kalkan;M. Lappe

  • Random subwindows for robust image classification

    R. Maree;P. Geurts;J. Piater;L. Wehenkel

  • Object-action complexes: Grounded abstractions of sensory-motor processes

    Norbert Krüger;Christopher W. Geib;Justus H. Piater;Ronald P. A. Petrick

  • Learning Grasp Affordance Densities

    Renaud Detry;Dirk Kraft;Oliver Kroemer;Leon Bodenhagen

  • Affordances in Psychology, Neuroscience, and Robotics: A Survey

    Lorenzo Jamone;Emre Ugur;Angelo Cangelosi;Luciano Fadiga

  • Combining active learning and reactive control for robot grasping

    O. B. Kroemer;R. Detry;J. Piater;J. Peters

  • Developing haptic and visual perceptual categories for reaching and grasping with a humanoid robot

    Jefferson A. Coelho;Justus H. Piater;Roderic A. Grupen

  • The State of the Art in Multiple Object Tracking Under Occlusion in Video Sequences

    Pierre F. Gabriel;Jacques Verly;Justus Piater;Alain Genon

  • RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus

    Jens Forster;Christoph Schmidt;Thomas Hoyoux;Oscar Koller

  • Multi-camera people tracking by collaborative particle filters and principal axis-based integration

    Wei Du;Justus Piater

  • Online Learning of Gaussian Mixture Models - a Two-Level Approach.

    Arnaud Declercq;Justus H. Piater

  • A Simple Ontology of Manipulation Actions Based on Hand-Object Relations

    F. Worgotter;E. E. Aksoy;N. Kruger;J. Piater

  • Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning

    Emre Ugur;Justus Piater

  • Computational models of affordance in robotics: a taxonomy and systematic classification:

    Philipp Zech;Simon Haller;Safoura Rezapour Lakani;Barry Ridge

  • Symbol Emergence in Cognitive Developmental Systems: A Survey

    Tadahiro Taniguchi;Justus Piater;Florentin Worgotter;Emre Ugur

  • Learning object-specific grasp affordance densities

    R. Detry;E. Baseski;M. Popovic;Y. Touati

  • A Probabilistic Framework for 3D Visual Object Representation

    R. Detry;N. Pugeault;J.H. Piater

  • Multi-Modal Tracking of Interacting Targets Using Gaussian Approximations

    Justus H. Piater;James L. Crowley

  • Generalizing grasps across partly similar objects

    Renaud Detry;Carl Henrik Ek;Marianna Madry;Justus Piater

  • Teaching a Robot the Semantics of Assembly Tasks

    Thiusius Rajeeth Savarimuthu;Anders Glent Buch;Christian Schlette;Nils Wantia

  • Symbol Emergence in Cognitive Developmental Systems: a Survey

    Tadahiro Taniguchi;Emre Ugur;Matej Hoffmann;Lorenzo Jamone

Frequent Co-Authors

Norbert Krüger
Norbert Krüger University of Southern Denmark
Florentin Wörgötter
Florentin Wörgötter University of Göttingen
Jan Peters
Jan Peters Technical University of Darmstadt
Roderic A. Grupen
Roderic A. Grupen University of Massachusetts Amherst
Tamim Asfour
Tamim Asfour Karlsruhe Institute of Technology
James L. Crowley
James L. Crowley Grenoble Alpes University
Pierre Geurts
Pierre Geurts University of Liège
Hermann Ney
Hermann Ney RWTH Aachen University
Louis Wehenkel
Louis Wehenkel University of Liège
Ales Ude
Ales Ude Jožef Stefan Institute

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