4 citations · 4 across the 3 of their papers we have counts for
3 papers
Learning to Control Complex Robots Using High-Dimensional Interfaces: Preliminary Insights
Jongmin M. Lee, Temesgen Gebrekristos, Dalia De Santis +5
Human body motions can be captured as a high-dimensional continuous signal using motion sensor technologies. The resulting data can be surprisingly rich in information, even when c…
Implicit learning of object geometry by reducing contact forces and increasing smoothness
Daohang Sha, James L. Patton, Ferdinando A. Mussa-Ivaldi
Moving our hands smoothly is essential to execute ordinary tasks, such as carrying a glass of water without spilling. Past studies have revealed a natural tendency to generate smoo…
Controlling wheelchairs by body motions: A learning framework for the adaptive remapping of space
Tauseef Gulrez, Alessandro Tognetti, Alon Fishbach +4
Learning to operate a vehicle is generally accomplished by forming a new cognitive map between the body motions and extrapersonal space. Here, we consider the challenge of remappin…