Results 21 to 30 of about 343 (152)
Self-Supervised Motion Retargeting with Safety Guarantee [PDF]
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 In this paper, we present self-supervised shared latent embedding (S3LE), a data-driven motion retargeting method that enables the generation of natural motions in humanoid robots from motion capture data or RGB videos. While it requires paired data consisting of human poses and their corresponding robot configurations, it significantly alleviates the ...
Sungjoon Choi +3 more
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Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 CVPR ...
Jiaxu Zhang +9 more
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CONTROL DE UN ROBOT HUMANOIDE UTILIZANDO MOTION RETARGETING
Revista de Investigaciones Universidad del Quindío, 2015 En este proyecto se hace el control de las extremidades superiores de una plataforma robótica humanoide utilizando la técnica de motion retargeting, que redirige los movimientos de un operador humano al androide.
Juan Felipe Medina Lee +1 more
doaj +1 more source
A Riemannian Take on Human Motion Analysis and Retargeting
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 Dynamic motions of humans and robots are widely driven by posture-dependent nonlinear interactions between their degrees of freedom. However, these dynamical effects remain mostly overlooked when studying the mechanisms of human movement generation.
Holger Klein +3 more
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The Effects of Motion Artifacts on Self-Avatar Agency
Informatics, 2019 One way of achieving self-agency in virtual environments is by using a motion capture system and retargeting user’s motion to the virtual avatar. In this study, we investigated whether the self-agency is affected when motion artifacts appear on top of ...
Alexandros Koilias +2 more
doaj +1 more source
A Vector-Based Motion Retargeting Approach for Exoskeletons with Shoulder Girdle Mechanism
BiomimeticsShoulder girdle plays a dominant role in coordinating the natural movements of the upper arm. Inverse kinematics, optimization, and data-driven approaches are usually used to conduct motion retargeting.
Jiajia Wang +4 more
doaj +1 more source
Semantic 3D motion retargeting for facial animation [PDF]
Proceedings of the 3rd symposium on Applied perception in graphics and visualization, 2006 We present a system for realistic facial animation that decomposes facial motion capture data into semantically meaningful motion channels based on the Facial Action Coding System. A captured performance is retargeted onto a morphable 3D face model based on a semantic correspondence between motion capture and 3D scan data.
Cristóbal Curio +5 more
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Retargeting Matters: General Motion Retargeting for Humanoid Motion Tracking
CoRRHumanoid motion tracking policies are central to building teleoperation pipelines and hierarchical controllers, yet they face a fundamental challenge: the embodiment gap between humans and humanoid robots. Current approaches address this gap by retargeting human motion data to humanoid embodiments and then training reinforcement learning (RL) policies ...
João Pedro Araújo +4 more
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Neural Kinematic Networks for Unsupervised Motion Retargetting [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 We propose a recurrent neural network architecture with a Forward Kinematics layer and cycle consistency based adversarial training objective for unsupervised motion retargetting. Our network captures the high-level properties of an input motion by the forward kinematics layer, and adapts them to a target character with different skeleton bone lengths (
Ruben Villegas +3 more
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Morphology-agnostic humanoid retargeting via perception-motivated graph similarity
Frontiers in NeuroroboticsQuantifying motion similarity, despite its inherently subjective nature, is a foundational problem for humanoid motion transfer and control across different embodiments.
Chaojie Fu +16 more
doaj +1 more source