3 accepted papers
The use of machine learning to investigate grasp affordances has received extensive attention over the past several decades. The existing literature provides a robust basis to build upon, though a number of aspects may be improved. Results commonly work in terms of grasp configuration, with little c
This paper describes the hardware implementation and characterization of a capacitive sensor designed to support detection and localization of nearby objects. The sensor can be mounted on the exterior of any given robotic system. The technology is particularly well-suited to detection of capacitive…
We propose a new approach to investigate and quantify dynamic grasp performance. Oftentimes, existing approaches to grasp analysis assess a grasp’s quality in a static situation. We build upon such considerations to also account for the dynamic nature of most grasp operations. In particular, these t…