Add in some speaker notes
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<p class="has-text-primary is-size-2">🧍 Jake Howard</p>
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<p class="has-text-primary is-size-6">🐦 <a class="has-text-primary" href="https://twitter.com/realorangeone">@RealOrangeOne</a></p>
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<p class="is-size-4">👨💻 Senior Systems Engineer @ <span class="has-text-torchbox">Torchbox</span></p>
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<aside class="notes" data-markdown>
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- Who am I?
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- Systems @ Torchbox
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- We're hiring btw
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- In my spare time...
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</aside>
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</section>
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<section data-background-image="https://studentrobotics.org/images/content/blog/sr2022/arena.jpg">
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<h1 class="r-fit-text text-shadow">I Build Robots*</h1>
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<p class="text-shadow">* I help <em>others</em> build robots</p>
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<aside class="notes" data-markdown>
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- I build robots
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- Help _others_ build robots
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</aside>
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</section>
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<section data-background-iframe="https://www.youtube-nocookie.com/embed/xiDS58Htuh4?autoplay=1&start=24">
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<aside class="notes" data-markdown>
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- Student Robotics
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- Charity to help students get into STEM
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- Autonomous robotics competition
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- 16 - 19 year olds
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- Always looking for sponsors
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</aside>
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</section>
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<section data-background-iframe="https://www.youtube-nocookie.com/embed/xiDS58Htuh4?autoplay=1&start=24"></section>
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</section>
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<section>
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<section data-background-image="https://live.staticflickr.com/8718/17123916289_1cbc4c5210_k.jpg">
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<h1 class="r-fit-text text-shadow">Robots need to see things</h1>
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<h1 class="r-fit-text text-shadow">Environment</h1>
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<aside class="notes" data-markdown>
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- Robots need to sense their environments
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- As humans, we rely quite a lot on sight
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- Competitors, as humans, also do the same
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</aside>
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</section>
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<section data-background-image="https://live.staticflickr.com/2837/33771948196_3cf1b5e3e5_k.jpg">
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<aside class="notes" data-markdown>
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- Sight is a powerful sense
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- Ultrasound sensors can't distinguish between objects
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- Switches are dull
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- Eyes can detect objects, get distances, colour etc
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- Only if they know what they're doing
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</aside>
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</section>
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</section>
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<section data-background-image="https://images.unsplash.com/photo-1504639725590-34d0984388bd?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=1000&q=80">
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<h2 class="text-shadow">Computer Vision</h2>
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<aside class="notes" data-markdown>
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- Requires the world of computer Vision
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- Been around since late 1960s
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- Universities pioneering early AI
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- Not machine learning, the old kind
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- Lots of `if` statements
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- Some techniques unchanged to this day
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</aside>
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</section>
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<section>
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<section data-background-image="./img/object-recognition.png">
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<h2 class="text-shadow">Object Recognition</h2>
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<h4 class="text-shadow">The <span class="has-text-success">hot new thing</span></h4>
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<aside class="notes" data-markdown>
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- More modern machine learning
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- 2 stages
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- First you train a model
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- Use that model to detect things
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- Not quite ideal for our use case...
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</aside>
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</section>
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<section data-background-image="./img/not-hotdog.png">
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<h2 class="text-shadow">Prone to errors</h2>
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<aside class="notes" data-markdown>
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- Prone to errors
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- Different lighting / shadows can affect detection
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- Black box
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</aside>
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</section>
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<section data-background-image="https://images.unsplash.com/photo-1558494949-ef010cbdcc31?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=1000&q=80">
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<h2 class="text-shadow">Computationally intensive</h2>
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<aside class="notes" data-markdown>
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- Tonnes of computation
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- However is done once upfront
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- Fairly fast to detect
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- Our robos are just Raspberry Pis
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</aside>
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</section>
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<section>
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<h2 class="r-fit-text">What else?</h2>
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<aside class="notes" data-markdown>
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- What other options do we have?
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</aside>
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</section>
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</section>
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<section>
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<section data-background-image="https://april.eecs.umich.edu/media/apriltag/apriltagrobots_overlay.jpg">
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<h2 class="text-shadow">Fiducial Markers</h2>
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<aside class="notes" data-markdown>
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- Enter fiducial markers!
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- Look sorta like QR codes
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- Just a single number
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- Simpler, so they're easier to detect
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</aside>
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</section>
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<section data-background-image="https://docs.opencv.org/4.x/singlemarkersaxes.jpg">
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<h2 class="text-shadow">Pose Estimation</h2>
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<h2 class="text-shadow">Location</h2>
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<aside class="notes" data-markdown>
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- Accurately detect edges, see where in our FoV it is
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- If we know how big it's meant to be, derive distance
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- We know it's a square, derive angles
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</aside>
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</section>
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<section data-background-image="https://live.staticflickr.com/2827/32969459924_164c509e20_k.jpg">
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<h2 class="text-shadow r-fit-text">We put them <strong>everywhere</strong>!</h2>
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<aside class="notes" data-markdown>
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- Abundance of sources
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- Arena walls
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- Game props (tokens etc)
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- Location of any of them
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- If you know where the marker is, you know where you are
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</aside>
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</section>
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<section>
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<h2 class="r-fit-text">How do they work?</h2>
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<h2 class="r-fit-text">How do fiducial markers work?</h2>
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<aside class="notes" data-markdown>
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- All well and good knowing they exist
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- Tools out there to help make it easier
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- Not good enough
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- How does it actually _work_?
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</aside>
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</section>
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</section>
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</div>
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