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  <title>Multi-View Perception &middot; Michal P. Podolinsky</title>

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        <h1 class="post-title">Multi-View Perception and <span class="fw-bold">Uncertainty Fusion</span></h1>
        <p class="desc">Robotics Research &middot; Ongoing Research</p>
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      <p>This is an ongoing research project focusing on multi-view perception and uncertainty
      quantification for autonomous robotic systems. Due to the active nature of this research,
      detailed information cannot be made public at this time.</p>

      <div class="badge-row">
        <span class="badge">TensorFlow</span>
        <span class="badge">RGB-D</span>
        <span class="badge">NVIDIA Isaac Sim</span>
        <span class="badge">Uncertainty Guarantees</span>
        <span class="badge">Active</span>
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      <h2 class="al-section"><a href="#overview">project overview</a></h2>
      <p id="overview">
        The project explores novel approaches to perception fusion from multiple viewpoints while
        maintaining rigorous uncertainty guarantees for safe autonomous operation. The work involves
        NVIDIA Isaac Sim for simulation and validation, with live deployment on real robotic platforms.
      </p>

      <p class="fig-caption">Project images coming soon</p>

      <h2 class="al-section"><a href="#stack">technical stack</a></h2>
      <ul id="stack">
        <li><strong>Deep Learning Framework:</strong> TensorFlow</li>
        <li><strong>Simulation:</strong> NVIDIA Isaac Sim</li>
        <li><strong>Sensors:</strong> RGB-D cameras</li>
        <li><strong>Focus Areas:</strong> Uncertainty guarantees, live deployment</li>
        <li><strong>Application:</strong> Autonomous robotic systems</li>
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      <p class="desc">More details will be shared upon project completion and publication.</p>

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