Results 21 to 30 of about 1,292,854 (309)
BridgeData V2: A Dataset for Robot Learning at Scale [PDF]
Conference on Robot Learning, 2023 We introduce BridgeData V2, a large and diverse dataset of robotic manipulation behaviors designed to facilitate research on scalable robot learning. BridgeData V2 contains 60,096 trajectories collected across 24 environments on a publicly available low ...
H. Walke +13 more
semanticscholar +1 more source
Technologies for an inclusive robotics education
Open Research Europe, 2021 The H2020 project “INBOTS: Inclusive Robotics for a Better Society” (2018–21) has worked in different disciplines involved in the acceptance and uptake of interactive robotics, including the promotion of accessible and multidisciplinary education programs.
openaire +4 more sources
Cognitive Learning and Robotics: Innovative Teaching for Inclusivity
Multimodal Technologies and Interaction, 2022 We present the interdisciplinary CoWriting Kazakh project in which a social robot acts as a peer in learning the new Kazakh Latin alphabet, to which Kazakhstan is going to shift from the current Kazakh Cyrillic by 2030.
Nurziya Oralbayeva +3 more
semanticscholar +1 more source
Using assistive robots to promote inclusive education [PDF]
Disability and Rehabilitation: Assistive Technology, 2016 This paper describes the development and test of physical and virtual integrated augmentative manipulation and communication assistive technologies (IAMCATs) that enable children with motor and speech impairments to manipulate educational items by controlling a robot with a gripper, while communicating through a speech generating device.Nine children ...
Encarnação, P. +9 more
openaire +5 more sources
Virtual inclusion through telepresence robots: an inclusivity model and heuristic
International Journal of Inclusive Education, 2022 This article leverages existing literature around the use of telepresence robots to provide a conceptualisation of virtual inclusion. Telepresence involves the use of mediating technology to generate connection with others in a remote context. Recent developments have seen telepresence robots used to create a sense of ‘being there’ when the person’s ...
Jennifer Charteris +2 more
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Conference on Robot Learning, 2023 Parkour is a grand challenge for legged locomotion that requires robots to overcome various obstacles rapidly in complex environments. Existing methods can generate either diverse but blind locomotion skills or vision-based but specialized skills by ...
Ziwen Zhuang +6 more
semanticscholar +1 more source
Beneficial Artificial Intelligence Coordination by means of a Value Sensitive Design Approach [PDF]
, 2019 This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values in to AI systems both early and throughout the design process.
Umbrello, Steven
core +2 more sources
Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition [PDF]
Conference on Robot Learning, 2023 We present a framework for robot skill acquisition, which 1) efficiently scale up data generation of language-labelled robot data and 2) effectively distills this data down into a robust multi-task language-conditioned visuo-motor policy. For (1), we use
Huy Ha, Peter R. Florence, Shuran Song
semanticscholar +1 more source
Game theoretic controller synthesis for multi-robot motion planning Part I : Trajectory based algorithms [PDF]
, 2014 We consider a class of multi-robot motion planning problems where each robot is associated with multiple objectives and decoupled task specifications. The problems are formulated as an open-loop non-cooperative differential game.
Chaudhari, Pratik +3 more
core +1 more source
GestLLM: Advanced Hand Gesture Interpretation via Large Language Models for Human-Robot Interaction [PDF]
IEEE/ACM International Conference on Human-Robot InteractionThis paper introduces GestLLM, an advanced system for human-robot interaction that enables intuitive robot control through hand gestures. Unlike conventional systems, which rely on a limited set of predefined gestures, GestLLM leverages large language ...
Oleg Kobzarev +2 more
semanticscholar +1 more source