Robohub.org
 

Federal regulations pass next hurdle


by
21 July 2017



share this:

This week’s news is preliminary, but a U.S. house committee panel passed some new federal regulations which suggest sweeping change in the US regulatory approach to robocars.

Today, all cars sold must comply with the Federal Motor Vehicles Safety Standards (FMVSS). This is a huge set of standards, and it’s full of things written with human driven cars in mind, and making a radically different vehicle, like the Zoox, or the Waymo Firefly, or a delivery robot, is simply not going to happen under those standards. There is a provision where NHTSA can offer exemptions but it’s in small volumes, for prototype and testing vehicles mostly. The new rules would allow a vendor to get an exemption to make 100,000 vehicles per year, which should be enough for the early years of robocar deployment.

Secondly, these and other new regulations would preempt state regulations. Most players (except some states) have pushed for this. Many states don’t want the burden of regulating robocar design, since they don’t have the resources to do so, and most vendors don’t want what they call a “patchwork” of 50 regulations in the USA. My take is different. I agree the cost of a patchwork is not to be ignored, but the benefits of having jurisdictional competition may be much greater. When California proposed to ban vehicles like the Google Firefly, Texas immediately said, “Come to Texas, we won’t get in your way.” That pushed California to rethink. Having one regulation is good — but it has to be the right regulation, and we’re much too early in the game to know what the right regulation is.

This is just a committee in the house, and there is lots more distance to go, including the Senate and all the other usual hurdles. Whatever people thought about how much regulation there should be, everybody has known that the FMVSS needs a difficult and complex revision to work in the world of robocars, and a temporary exemption can be a solution to that.



tags: ,


Brad Templeton, Robocars.com is an EFF board member, Singularity U faculty, a self-driving car consultant, and entrepreneur.
Brad Templeton, Robocars.com is an EFF board member, Singularity U faculty, a self-driving car consultant, and entrepreneur.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 168 – Advancing robotics with novel electronics, with Zlatka Stoeva

  30 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Zlatka Stoeva from DZP Technologies about flexible, stretchable and soft printed electronics for dexterous robots.

Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer

and   28 Oct 2026
Hear more about Raphael's research and his involvement in the RoboCup@Home league.

Robots in Society, Business and Culture: September 2026

We showcase a selection of robotics stories from society, business, research and culture.

Robot Talk Episode 167 – Automating construction, with Jan Petrš

  23 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Jan Petrš from École Polytechnique Fédérale de Lausanne about novel robot designs for construction and architecture.

ACM SIGAI Autonomous Agents Award 2027 open for nominations

  20 Oct 2026
Nominations are solicited for the 2027 ACM SIGAI Autonomous Agents Research Award.

Powered by muscle cells, a paper-thin robot swims through watery maze

  19 Oct 2026
MIT engineers’ new aquabot offers a way to design small, efficient “biohybrid” robots.

Robot Talk Episode 166 – Evolving robot bodies and brains, with Rika Antonova

  16 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rika Antonova from the University of Cambridge about using artificial intelligence to develop complimentary robot hardware and algorithms.


↑


AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence