I was under the impression that Machine Ethics is mostly being researched by Computer Science experts and AI or Neuro-something specialists in particular.
Pretty much a mix of people who know about machines and people who know about ethics. Arkin is a roboticist. Anderson and Anderson are a philosopher/computer scientist duo. Colin Allen is a philosopher, and I believe Wendell Wallach is too.
I'd argue that the best work is done by computing/robotics folks, yes.
The project of Friendly AI would benefit from being approached in a much more down-to-earth way. Discourse about the subject seems to be dominated by a set of possibilities which are given far too much credence:
Add up all of that, and you have a great recipe for enjoyable irrelevance. Negate every single one of those ideas, and you have an alternative set of working assumptions that are still consistent with the idea that Friendly AI matters, and which are much more suited to practical success:
The simplest reason to care about Friendly AI is that we are going to be coexisting with AI, and so we should want it to be something we can live with. I don't see that anything important would be lost by strongly foregrounding the second set of assumptions, and treating the first set of possibilities just as possibilities, rather than as the working hypothesis about reality.
[Earlier posts on related themes: practical FAI, FAI without "outsourcing".]