Robots need to understand words for references in social spaces (e.g., objects, locations, actions). Grounded language learning systems aim to learn these words from observing a human tutor. Teaching a robot is difficult for naive users due to the …
Dexterous robotic hands are necessary for many tasks requiring the capability of in-hand object manipulation or tool use. Teleoperation remains a common approach for controlling dexterous hands, however, it is very difficult with traditional input …
Learning from demonstration is an approach to directly teach robots new tasks without explicit programming. Prior methods typically collect demonstration data through kinesthetic teaching or teleoperation. This is challenging because the human must …
Teleoperation of robots with traditional input devices (joysticks, keyboard, etc.) is often difficult and cumbersome especially for novice users. We introduce an intuitive virtual reality (VR) based teleoperation system for humanoid robots that …
The aim of this paper is to evaluate the effect of different interaction styles on self-efficacy in human-robot interaction (HRI), people's perception of the robot, and task engagement. We conducted a user study in which a social robot assists …
In this demonstration, we will showcase real-time grounded language learning on the humanoid robot Pepper. In particular, learn- ing word-object and word-action mapping from cross-modal data, where simple actions, such as take, put and push, are …
The Action Verb Corpus comprises multimodal data of 12 humans conducting in total 390 simple actions (TAKE, PUT, and PUSH). Recorded are audio, video and motion data while participants perform an action and describe what they do. The dataset is …
The Action Verb Corpus (AVC) is a multimodal dataset of simple actions for robot learning. The extension introduced here is especially geared to supervised learning of actions from human motion data. Recorded are RGB-D videos of the test scene, …
The goal is to teach a robot the meaning of objects in its environment. This is achieved by what we call the Architecture Space-Game (ASG), where the robot takes the active part of asking various people about objects and their meaning. A key aspect …
The landscape of robotics platforms for education is broad and mainly focused on technical problem solving skills. The different application areas serve for adding some variety regarding skill sets and areas of interest, however design or product …