4 accepted papers
Modern manipulators are acclaimed for their precision but often struggle to operate in confined spaces. This limitation has driven the development of hyper-redundant and continuum robots. While these present unique advantages, they face challenges in, for instance, weight, mechanical complexity, mod
The existence of EFX allocations of goods is a major open problem in fair division, even for additive valuations. The current state of the art is that no setting where EFX allocations are impossible is known, and yet, existence results are known only for very restricted settings, such as: (i) agents…
Scalable training data generation is a critical problem in deep learning. We propose PennSyn2Real - a photo-realistic synthetic dataset consisting of more than 100 000 4K images of more than 20 types of micro aerial vehicles (MAVs). The dataset can be used to generate arbitrary numbers of training i
This paper details the development, modeling and performance of AmphiSTAR, a novel high-speed amphibious robot. The palm size AmphiSTAR, which belongs to the family of STAR robots, is a "wheeled" robot fitted with propellers at its bottom that allow it to crawl on the ground and run (i.e. hover) on…