Justus H. Piater

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 81

Top Venues

CoRR

IROS

IEEE Trans. Cogn. Dev. Syst.

Robotics Auton. Syst.

Publications

Marko Zaric, Jakob J. Hollenstein, Justus H. Piater, Erwan Renaudo
Unsupervised Learning of Effective Actions in Robotics. CoRR (2024)
Jakob J. Hollenstein, Georg Martius, Justus H. Piater
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling. AAAI (2024)
Josip Josifovski, Sayantan Auddy, Mohammadhossein Malmir, Justus H. Piater, Alois Knoll, Nicolás Navarro-Guerrero
Continual Domain Randomization. CoRR (2024)
Sayantan Auddy, Antonio Paolillo, Justus H. Piater, Matteo Saveriano
Direct Imitation Learning-based Visual Servoing using the Large Projection Formulation. CoRR (2024)
Sayantan Auddy, Sebastian Bergner, Justus H. Piater
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration. CoRR (2024)
Hector M. Perez-Villeda, Justus H. Piater, Matteo Saveriano
Learning and extrapolation of robotic skills using task-parameterized equation learner networks. Robotics Auton. Syst. 160 (2023)
Lukas Mölschl, Jakob J. Hollenstein, Justus H. Piater
Differentiable Forward Kinematics for TensorFlow 2. CoRR (2023)
Cansu Sancaktar, Justus H. Piater, Georg Martius
Regularity as Intrinsic Reward for Free Play. CoRR (2023)
Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model. CoRR (2023)
Cansu Sancaktar, Justus H. Piater, Georg Martius
Regularity as Intrinsic Reward for Free Play. NeurIPS (2023)
Hector M. Perez-Villeda, Justus H. Piater, Matteo Saveriano
Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills. CoRR (2023)
Jakob Hollenstein, Georg Martius, Justus H. Piater
Colored Noise in PPO: Improved Exploration and Performance Through Correlated Action Sampling. CoRR (2023)
Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Continual learning from demonstration of robotics skills. Robotics Auton. Syst. 165 (2023)
Alejandro Agostini, Justus H. Piater
Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints. CoRR (2023)
Alper Ahmetoglu, M. Yunus Seker, Justus H. Piater, Erhan Öztop, Emre Ugur
DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction. J. Artif. Intell. Res. 75 (2022)
Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. Trans. Mach. Learn. Res. 2022 (2022)
Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Rodríguez-Sánchez, Justus H. Piater
Continual Learning from Demonstration of Robotic Skills. CoRR (2022)
Alejandro Romero, Justus H. Piater, Francisco Bellas, Richard J. Duro
ANN-based Representation Learning in a Lifelong Open-ended Learning Cognitive Architecture. IJCNN (2022)
David Peer, Bart Keulen, Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization. CoRR (2022)
Hector Villeda, Justus H. Piater, Matteo Saveriano
Learning and Extrapolation of Robotic Skills using Task-Parameterized Equation Learner Networks. CoRR (2022)
David Peer, Bart Keulen, Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization. Trans. Mach. Learn. Res. 2022 (2022)
Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. CoRR (2022)
Xiang Zhang, Matteo Saveriano, Justus H. Piater
Learning Descriptor of Constrained Task from Demonstration. CoRR (2021)
Alejandro Agostini, Matteo Saveriano, Dongheui Lee, Justus H. Piater
Manipulation Planning Using Object-Centered Predicates and Hierarchical Decomposition of Contextual Actions. IEEE Robotics Autom. Lett. 5 (4) (2020)
Simon Hangl, Vedran Dunjko, Hans J. Briegel, Justus H. Piater
Skill Learning by Autonomous Robotic Playing Using Active Learning and Exploratory Behavior Composition. Frontiers Robotics AI 7 (2020)
Matteo Saveriano, Justus H. Piater
Combining decision making and dynamical systems for monitoring and executing manipulation tasks. Elektrotech. Informationstechnik 137 (6) (2020)
Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez
Evaluating the Progress of Deep Learning for Visual Relational Concepts. CoRR (2020)
Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater
How do Offline Measures for Exploration in Reinforcement Learning behave? CoRR (2020)
Pilar de la Cruz, Justus H. Piater, Matteo Saveriano
Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features. SMC (2020)
Jakob J. Hollenstein, Erwan Renaudo, Matteo Saveriano, Justus H. Piater
Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search. CoRR (2020)
Alper Ahmetoglu, M. Yunus Seker, Aysu Sayin, Serkan Bugur, Justus H. Piater, Erhan Öztop, Emre Ugur
DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning. CoRR (2020)
Senka Krivic, Michael Cashmore, Daniele Magazzeni, Sándor Szedmák, Justus H. Piater
Using Machine Learning for Decreasing State Uncertainty in Planning. J. Artif. Intell. Res. 69 (2020)
Patrick Lamprecht, Simon Haller-Seeber, Justus H. Piater
A Block-based IDE Extension for the ESP32. RiE (2020)
Erenus Yildiz, Tobias Brinker, Erwan Renaudo, Jakob J. Hollenstein, Simon Haller-Seeber, Justus H. Piater, Florentin Wörgötter
A Visual Intelligence Scheme for Hard Drive Disassembly in Automated Recycling Routines. ROBOVIS (2020)
Simon Haller-Seeber, Erwan Renaudo, Philipp Zech, Florian Westreicher, Markus Walzthöni, Stefan Strappler, Cornelia Vidovic, Justus H. Piater
ROSSINI: RobOt kidS deSIgn thiNkIng. RiE (2020)
Pilar de la Cruz, Justus H. Piater, Matteo Saveriano
Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features. CoRR (2020)
Philipp Zech, Erwan Renaudo, Simon Haller, Xiang Zhang, Justus H. Piater
Action representations in robotics: A taxonomy and systematic classification. Int. J. Robotics Res. 38 (5) (2019)
Tadahiro Taniguchi, Justus H. Piater, Florentin Wörgötter, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Öztop
Symbol Emergence in Cognitive Developmental Systems: A Survey. IEEE Trans. Cogn. Dev. Syst. 11 (4) (2019)
Senka Krivic, Justus H. Piater
Pushing corridors for delivering unknown objects with a mobile robot. Auton. Robots 43 (6) (2019)
Muhammet Yunus Seker, Mert Imre, Justus H. Piater, Emre Ugur
Conditional Neural Movement Primitives. Robotics: Science and Systems (2019)
Safoura Rezapour Lakani, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Towards affordance detection for robot manipulation using affordance for parts and parts for affordance. Auton. Robots 43 (5) (2019)
Thiusius Rajeeth Savarimuthu, Anders Glent Buch, Christian Schlette, Nils Wantia, Jürgen Roßmann, David Martínez Martínez, Guillem Alenyà, Carme Torras, Ales Ude, Bojan Nemec, Aljaz Kramberger, Florentin Wörgötter, Eren Erdal Aksoy, Jeremie Papon, Simon Haller, Justus H. Piater, Norbert Krüger
Teaching a Robot the Semantics of Assembly Tasks. IEEE Trans. Syst. Man Cybern. Syst. 48 (5) (2018)
Philipp Zech, Erwan Renaudo, Simon Haller, Xiang Zhang, Justus H. Piater
Action Representations in Robotics: A Taxonomy and Systematic Classification. CoRR (2018)
Lorenzo Jamone, Emre Ugur, Angelo Cangelosi, Luciano Fadiga, Alexandre Bernardino, Justus H. Piater, José Santos-Victor
Affordances in Psychology, Neuroscience, and Robotics: A Survey. IEEE Trans. Cogn. Dev. Syst. 10 (1) (2018)
Safoura Rezapour Lakani, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Exercising Affordances of Objects: A Part-Based Approach. IEEE Robotics Autom. Lett. 3 (4) (2018)
Senka Krivic, Justus H. Piater
Online Adaptation of Robot Pushing Control to Object Properties. IROS (2018)
Dadhichi Shukla, Özgür Erkent, Justus H. Piater
Learning Semantics of Gestural Instructions for Human-Robot Collaboration. Frontiers Neurorobotics 12 (2018)
Xiang Zhang, Athanasios S. Polydoros, Justus H. Piater
Learning Movement Assessment Primitives for Force Interaction Skills. CoRR (2018)
Tadahiro Taniguchi, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Öztop, Justus H. Piater, Florentin Wörgötter
Symbol Emergence in Cognitive Developmental Systems: a Survey. CoRR (2018)
Mirko Wächter, Ekaterina Ovchinnikova, Valerij Wittenbeck, Peter Kaiser, Sándor Szedmák, Wail Mustafa, Dirk Kraft, Norbert Krüger, Justus H. Piater, Tamim Asfour
Integrating multi-purpose natural language understanding, robot's memory, and symbolic planning for task execution in humanoid robots. Robotics Auton. Syst. 99 (2018)
Philipp Zech, Simon Haller, Safoura Rezapour Lakani, Barry Ridge, Emre Ugur, Justus H. Piater
Computational models of affordance in robotics: a taxonomy and systematic classification. Adapt. Behav. 25 (5) (2017)
Simon Hangl, Emre Ugur, Justus H. Piater
Autonomous robots: potential, advances and future direction. Elektrotech. Informationstechnik 134 (6) (2017)
Simon Hangl, Vedran Dunjko, Hans J. Briegel, Justus H. Piater
Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity. CoRR (2017)
Jelizaveta Konstantinova, Senka Krivic, Agostino Stilli, Justus H. Piater, Kaspar Althoefer
Autonomous Object Handover Using Wrist Tactile Information. TAROS (2017)
Simon Hangl, Andreas Mennel, Justus H. Piater
A novel Skill-based Programming Paradigm based on Autonomous Playing and Skill-centric Testing. CoRR (2017)
Lars Christian Jensen, Kerstin Fischer, Franziska Kirstein, Dadhichi Shukla, Özgür Erkent, Justus H. Piater
It Gets Worse Before it Gets Better: Timing of Instructions in Close Human-Robot Collaboration. HRI (Companion) (2017)
Simon Hangl, Sebastian Stabinger, Justus H. Piater
Autonomous Skill-centric Testing using Deep Learning. CoRR (2017)
Senka Krivic, Michael Cashmore, Bram Ridder, Daniele Magazzeni, Sándor Szedmák, Justus H. Piater
Initial State Prediction in Planning. AAAI Workshops (2017)
Emre Ugur, Justus H. Piater
Emergent Structuring of Interdependent Affordance Learning Tasks Using Intrinsic Motivation and Empirical Feature Selection. IEEE Trans. Cogn. Dev. Syst. 9 (4) (2017)
Senka Krivic, Michael Cashmore, Daniele Magazzeni, Bram Ridder, Sándor Szedmák, Justus H. Piater
Decreasing Uncertainty in Planning with State Prediction. IJCAI (2017)
Dadhichi Shukla, Özgür Erkent, Justus H. Piater
Proactive, incremental learning of gesture-action associations for human-robot collaboration. RO-MAN (2017)
Simon Hangl, Sebastian Stabinger, Justus H. Piater
Autonomous skill-centric testing using deep learning. IROS (2017)
Özgür Erkent, Dadhichi Shukla, Justus H. Piater
Visual task outcome verification using deep learning. IROS (2017)
Safoura Rezapour Lakani, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Can Affordances Guide Object Decomposition into Semantically Meaningful Parts? WACV (2017)
Dadhichi Shukla, Özgür Erkent, Justus H. Piater
Supervised Learning of Gesture-Action Associations for Human-Robot Collaboration. FG (2017)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Learning Abstract Classes using Deep Learning. CoRR (2016)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Monocular obstacle avoidance for blind people using probabilistic focus of expansion estimation. WACV (2016)
Dadhichi Shukla, Özgür Erkent, Justus H. Piater
A multi-view hand gesture RGB-D dataset for human-robot interaction scenarios. RO-MAN (2016)
Philipp Zech, Justus H. Piater
Active and Transfer Learning of Grasps by Sampling from Demonstration. CoRR (2016)
Hanchen Xiong, Sándor Szedmák, Justus H. Piater
Learning undirected graphical models using persistent sequential Monte Carlo. Mach. Learn. 103 (2) (2016)
Sabrina Fontanella, Antonio Jose Rodríguez-Sánchez, Justus H. Piater, Sándor Szedmák
Kronecker Decomposition for Image Classification. CLEF (2016)
Antonio Jose Rodríguez-Sánchez, Sabine Oberleiter, Hanchen Xiong, Justus H. Piater
Learning V4 Curvature Cell Populations from Sparse Endstopped Cells. ICANN (2) (2016)
Simon Hangl, Emre Ugur, Sándor Szedmák, Justus H. Piater
Hierarchical Haptic Manipulation for Complex Skill Learning. CoRR (2016)
Philipp Zech, Hanchen Xiong, Justus H. Piater
Active and Transfer Learning of Grasps by Kernel Adaptive MCMC. CoRR (2016)
Simon Hangl, Emre Ugur, Sándor Szedmák, Justus H. Piater
Robotic playing for hierarchical complex skill learning. IROS (2016)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
25 Years of CNNs: Can We Compare to Human Abstraction Capabilities? ICANN (2) (2016)
Thomas Hoyoux, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Can computer vision problems benefit from structured hierarchical classification? Mach. Vis. Appl. 27 (8) (2016)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
25 years of CNNs: Can we compare to human abstraction capabilities? CoRR (2016)
Özgür Erkent, Dadhichi Shukla, Justus H. Piater
Integration of Probabilistic Pose Estimates from Multiple Views. ECCV (7) (2016)
Philipp Zech, Justus H. Piater
Grasp Learning by Sampling from Demonstration. CoRR (2016)
Senka Krivic, Emre Ugur, Justus H. Piater
A robust pushing skill for object delivery between obstacles. CASE (2016)
Emre Ugur, Justus H. Piater
Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning. ICRA (2015)
Thomas Hoyoux, Antonio Jose Rodríguez-Sánchez, Justus H. Piater, Sándor Szedmák
Can Computer Vision Problems Benefit from Structured Hierarchical Classification? CAIP (2) (2015)
Franziska Kirstein, Kerstin Fischer, Özgür Erkent, Justus H. Piater
Human Smile Distinguishes between Collaborative and Solitary Tasks in Human-Robot Interaction. HRI (Extended Abstracts) (2015)
Wail Mustafa, Hanchen Xiong, Dirk Kraft, Sándor Szedmák, Justus H. Piater, Norbert Krüger
Multi-label Object Categorization Using Histograms of Global Relations. 3DV (2015)
Dadhichi Shukla, Özgür Erkent, Justus H. Piater
Probabilistic Detection of Pointing Directions for Human-Robot Interaction. DICTA (2015)
Dadhichi Shukla, Özgür Erkent, Justus H. Piater
General Object Tip Detection and Pose Estimation for Robot Manipulation. ICVS (2015)
Antonio Jose Rodríguez-Sánchez, Heiko Neumann, Justus H. Piater
Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects. Künstliche Intell. 29 (1) (2015)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Learning Abstract Classes using Deep Learning. BICT (2015)
Alejandro Agostini, Mohamad Javad Aein, Sándor Szedmák, Eren Erdal Aksoy, Justus H. Piater, Florentin Wörgötter
Using structural bootstrapping for object substitution in robotic executions of human-like manipulation tasks. IROS (2015)
Jan Peters, Justus H. Piater, Robert Platt Jr., Siddhartha S. Srinivasa
Multimodal Manipulation Under Uncertainty (Dagstuhl Seminar 15411). Dagstuhl Reports 5 (10) (2015)
Antonio Jose Rodríguez-Sánchez, Sándor Szedmák, Justus H. Piater
SCurV: A 3D descriptor for object classification. IROS (2015)
Kerstin Fischer, Lars Christian Jensen, Franziska Kirstein, Sebastian Stabinger, Özgür Erkent, Dadhichi Shukla, Justus H. Piater
The Effects of Social Gaze in Human-Robot Collaborative Assembly. ICSR (2015)
Senka Krivic, Sándor Szedmák, Hanchen Xiong, Justus H. Piater
Learning missing edges via kernels in partially-known graphs. ESANN (2015)
Florentin Wörgötter, Christopher W. Geib, Minija Tamosiunaite, Eren Erdal Aksoy, Justus H. Piater, Hanchen Xiong, Ales Ude, Bojan Nemec, Dirk Kraft, Norbert Krüger, Mirko Wächter, Tamim Asfour
Structural Bootstrapping - A Novel, Generative Mechanism for Faster and More Efficient Acquisition of Action-Knowledge. IEEE Trans. Auton. Ment. Dev. 7 (2) (2015)
Safoura Rezapour Lakani, Mirela Popa, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
CPS: 3D Compositional Part Segmentation through Grasping. CRV (2015)
Michael W. Hofbaur, Andreas Müller, Justus H. Piater, Bernhard Rinner, Gerald Steinbauer, Markus Vincze, Christian Wögerer
Making Better Robots - Beiträge Österreichs zur Europäischen Robotics Research Roadmap. Elektrotech. Informationstechnik 132 (4-5) (2015)
Antonio Jose Rodríguez-Sánchez, Sabrina Fontanella, Justus H. Piater, Sándor Szedmák
IIS at ImageCLEF 2015: Multi-label Classification Task. CLEF (Working Notes) (2015)
Emre Ugur, Justus H. Piater
Refining discovered symbols with multi-step interaction experience. Humanoids (2015)
Hanchen Xiong, Antonio Jose Rodríguez-Sánchez, Sándor Szedmák, Justus H. Piater
Diversity priors for learning early visual features. Frontiers Comput. Neurosci. 9 (2015)

Justus H. Piater.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Justus H. Piater