Abstract: In this paper we propose an approach for identification of high-level object manipulation operations within a continuous multimodal time-series.
Abstract—In this paper we propose an approach for identifica- tion of high-level object manipulation operations within a contin- uous multimodal time-series ...
In this paper we propose an approach for identification of high-level object manipulation operations within a continuous multimodal time-series.
Learning of object manipulation operations from continuous multimodal input (bibtex) ... Learning of object manipulation operations from continuous multimodal ...
In this work, we study how to enable service robots to use human multi-modal data to understand object manipulation actions, and how they can recognize such ...
Contact modes are often used to model distinct contact states in manipulation tasks. The term modes is adopted from hybrid systems literature [11], where they ...
Learning of object manipulation operations from continuous multimodal input · Multimodal segmentation of object manipulation sequences with product models.
Jul 22, 2023 · We introduce MRLM, a Multi-stage Reinforcement Learning approach for non-prehensile Manipulation of this http URL divides the task into multiple stages.
Abstract: We propose a method for sim-to-real robot learning which exploits simulator state information in a way that scales to many objects.
In this paper we present an approach to identification of a class of high-level manual object manip-ulations. Experiments have shown that the naive approach ...
Missing: continuous | Show results with:continuous