1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.RO2026
Dull, Dirty, Dangerous: Understanding the Past, Present, and Future of a Key Motivation for Robotics
Nozomi Nakajima, Pedro Reynolds-Cuéllar, Caitrin Lynch +1
In robotics, the concept of "dull, dirty, and dangerous" (DDD) work has been used to motivate where robots might be useful. In this paper, we conduct an empirical analysis of robot…
cs.SE2026★ 1 cited
From Reflection to Repair: A Scoping Review of Dataset Documentation Tools
Pedro Reynolds-Cuéllar, Marisol Wong-Villacres, Adriana Alvarado Garcia +1
Dataset documentation is widely recognized as essential for the responsible development of automated systems. Despite growing efforts to support documentation through different kin…