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Development and Evaluation of a Learning-based Model for Real-time Haptic Texture Rendering
Current Virtual Reality (VR) environments lack the rich haptic signals that humans experience during real-life interactions, such as the sensation of texture during lateral movement on a surface.
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations
Our self-supervised representations are learned by observing the agent freely interacting with different parts of the environment and is queried in two different settings: (i) policy learning and (ii) object location prediction.
Learning an Action-Conditional Model for Haptic Texture Generation
Therefore, it is challenging to model the mapping from material and user interactions to haptic feedback in a way that generalizes over many variations of the user's input.
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