15 citations · 21 across the 5 of their papers we have counts for
6 papers · 1 filter
Learning Descriptor of Constrained Task from Demonstration
Xiang Zhang, Matteo Saveriano, Justus Piater
Constrained objects, such as doors and drawers are often complex and share a similar structure in the human environment. A robot needs to interact accurately with constrained objec…
Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features
Pilar de la Cruz, Justus Piater, Matteo Saveriano
Behavior Trees constitute a widespread AI tool which has been successfully spun out in robotics. Their advantages include simplicity, modularity, and reusability of code. However,…
Action Representations in Robotics: A Taxonomy and Systematic Classification
Philipp Zech, Erwan Renaudo, Simon Haller +2
Understanding and defining the meaning of "action" is substantial for robotics research. This becomes utterly evident when aiming at equipping autonomous robots with robust manipul…
Learning Movement Assessment Primitives for Force Interaction Skills
Xiang Zhang, Athanasios S. Polydoros, Justus Piater
We present a novel, reusable and task-agnostic primitive for assessing the outcome of a force-interaction robotic skill, useful e.g.\ for applications such as quality control in in…
A novel Skill-based Programming Paradigm based on Autonomous Playing and Skill-centric Testing
Simon Hangl, Andreas Mennel, Justus Piater
We introduce a novel paradigm for robot pro- gramming with which we aim to make robot programming more accessible for unexperienced users. In order to do so we incorporate two majo…
Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity
Simon Hangl, Vedran Dunjko, Hans J. Briegel +1
We treat the problem of autonomous acquisition of manipulation skills where problem-solving strategies are initially available only for a narrow range of situations. We propose to…