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Richard Kelley proslijedio/la je Tweet
Has any human driver, in the history of driving, actually encountered a "trolley problem" kind of situation? I would be interested in hearing some actual examples.
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The joys of robotics: Spent yesterday hunting for bugs in a new model predictive controller for the MKZ, only to discover that the code works but the hardware starts to fault when the trunk gets hot. Time for more AC I guess...
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I’m just getting started, but it seems like Julia could be a great language for doing robotics. I’m looking at it as a potential Python replacement. https://julialang.org
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This is a great list of questions to ask about AV demos/“deployments.” And for the most part you can replace “AV” with “robot” and the questions remain extremely useful.https://twitter.com/bwalkersmith/status/1162375999679619072 …
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Richard Kelley proslijedio/la je Tweet
Oldies but goldies...
Look at this instructive interview!
@richardkelley
#AutonomousVehicleshttps://robotic.legal/en/otonom-araclar-ve-teknoloji-devrimi/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Richard Kelley proslijedio/la je Tweet
While "minor" the AV backed into a car. Driver "had taken control" -- but maybe couldn't compensate in time? They should publish an analysis to build/maintain trust. A claim that low speed means "never" for fatalities seems optimistic.
#SafeAutonomyhttps://brooklyneagle.com/articles/2019/08/06/self-driving-cars-make-bumpy-debut-at-navy-yard/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I think stuff like this is a great argument for combining detections from multiple sensor types - lidar+cameras for example. I have yet to see an attack that would reliably work against a multimodal detection pipeline.
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Fun article about attacking mobileye object detection using a drone. I actually have the camera from the paper. I stopped using it in my AV because it's unreliable - usually very good but occasionally catastrophically bad.https://twitter.com/nebogeo/status/1156553639521116160 …
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Richard Kelley proslijedio/la je Tweet
I’m not sure they know how drivers treat pedestrians.https://www.businessinsider.com/amazon-wants-delivery-robots-to-be-treated-like-pedestrians-2019-6 …
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Richard Kelley proslijedio/la je Tweet
Team CERBERUS from
#SubTChallenge shared video of the system of systems solution it tested during STIX. The team's walking & flying robots collaborate to facilitate exploration in sensing-degraded & communications-constrained subterranean environments.https://youtu.be/sXVIUbe-RxAHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
NASA is doing some very cool drone testing in downtown Reno:https://twitter.com/CNBC/status/1130913650435248128 …
5:47Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Richard Kelley proslijedio/la je Tweet
Given infinite data, you can solve arbitrarily complex problems with a "dumb" model (such as a densely-connected neural network). However, when it comes to difficult real-world problems like self-driving, "lots of data" is very different from "infinite data". The long tail is fathttps://twitter.com/fchollet/status/1032444572306042880 …
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Richard Kelley proslijedio/la je Tweet
A worrying example of the fallacy of big data. There are 'countably infinite things' that can possibly happen and just 500,000 cars ... around 25% of which are driving around California. We need a lot more than just big data to have safe autonomous vehicles.https://twitter.com/woj_zaremba/status/1127986411917856768 …
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I'm excited to be working on a project to explore how blockchain tech can be used to help secure autonomous systems and smart infrastructure:https://twitter.com/coindesk/status/1120674213587771392 …
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Richard Kelley proslijedio/la je Tweet
Our robots went in, explored and came back safe during the
@DARPA#SubTerrenanean Challenge - Video from the Aerial Scouts of@CerberusSubt - with@leggedrobotics@ASL_ETHZ@fly_ability@SierraNevCorp HiPeR-UCBerkeleypic.twitter.com/TQ5gbpIkpaHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sutton's essay is interesting, but his argument is a lot less convincing if your definition of AI includes robots with complex dynamics in the real world, where human-designed algorithms still vastly outperform learning http://www.incompleteideas.net/IncIdeas/BitterLesson.html …
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Richard Kelley proslijedio/la je Tweet
Just put up a new
#MachineLearning post, where I explain the intuitions behind Natural Gradient learning: how to connect high-level concepts with the often-difficult-to-parse math. Herein lie gory details of optimization algorithms, and also puns!https://medium.com/@cody.marie.wild/its-only-natural-an-excessively-deep-dive-into-natural-gradient-optimization-75d464b89dbb …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Richard Kelley proslijedio/la je Tweet
When people say 'we use
#machinelearning in the business process.' Sometimes...I know that...
pic.twitter.com/2XQSO5jsod
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Parking the autonomous car at Nevada's legislature while I talk about AI for transportation in the state.
#NVtechdaypic.twitter.com/JW4YcTCQSg
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