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added single results plots
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index.html

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<meta property="og:description" content="A Lean Ecosystem for Robot Learning at Scale" />
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<meta property="og:url" content="https://robotcontrolstack.github.io/" />
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<!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X630-->
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<!-- <meta property="og:image" content="static/image/your_banner_image.png" />
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<meta property="og:image" content="static/images/rcs_architecture_small.svg" />
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<meta property="og:image:width" content="1200"/>
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<meta property="og:image:height" content="630"/> -->
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<meta property="og:image:height" content="630"/>
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<!-- <meta name="twitter:title" content="TWITTER BANNER TITLE META TAG">
@@ -295,8 +295,20 @@ <h2 class="title is-3 has-text-centered">Robots Setups with Digital Twins</h2>
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<!-- End setups and twins -->
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<!-- TODO: Applications -->
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<section class="section hero is-small">
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<div class="container is-max-desktop">
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<div class="columns is-centered has-text-centered">
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<div class="column">
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<div class="hero-body">
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<h2 class="title is-3">Applications</h2>
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TODO: similar to app slide in video
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</div>
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</div>
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</div>
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</div>
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</section>
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<!-- End Applications -->
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<!-- TODO: explain results -->
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<!-- Results -->
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<section class="section hero is-small">
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<div class="column">
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<div class="hero-body">
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<h2 class="title is-3">Results</h2>
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<img src="static/images/bar_plots_combined.svg" alt="Success rate bar plots."
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<img src="static/images/results/bar_plots_combined.svg" alt="Success rate bar plots."
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width="100%">
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<div class="content has-text-justified">
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Fig. 2: Success rate plots of different VLA comparisons.
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Different data mixes of synthetic and real data evaluated on the real-world setup and the simulated scene on 30 real-world and 100 simulated rollouts.
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The number denotes the amount of episodes from the respective domain used in the training mix.
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</div>
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<img src="static/images/success_rate_sim_real.svg" alt="Success rate plot over training checkpoints."
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<img src="static/images/results/success_rate_sim_real.svg" alt="Success rate plot over training checkpoints."
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width="100%">
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<div class="content has-text-justified">
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Fig. 3: Evaluation success rates measured for each checkpoint throughout the training process in the real and replicated simulated domain. Each checkpoint is evaluated on 20 real and 100 simulated rollouts. Left: Trained on 143 episodes on our FR3 dataset. Right: Trained on a mix of 143 episodes from our FR3 dataset and 500 episodes from the scripted dataset of the replicated simulated domain.
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</div>
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</div>
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</section>
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<!-- TODO: explain results -->
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<!-- End Results -->
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