Development and Evaluation of a Learning-based Model for Real-time Haptic Texture Rendering.

Current Virtual Reality (VR) environments lack the haptic signals that humans experience during real-life interactions, such as the sensation of texture during lateral movement on a surface. Adding realistic haptic textures to VR environments requires a model that generalizes to variations of a user's interaction and to the wide variety of existing textures in the world. Current methodologies for haptic texture rendering exist, but they usually develop one model per texture, resulting in low scalability.

Learning latent actions to control assistive robots.

Assistive robot arms enable people with disabilities to conduct everyday tasks on their own. These arms are dexterous and ; however, the interfaces people must use to control their robots are . Consider teleoperating a 7-DoF robot arm with a 2-DoF joystick.