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imitation.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Startup - Startup Website Template</title>
<meta content="width=device-width, initial-scale=1.0" name="viewport">
<meta content="Free HTML Templates" name="keywords">
<meta content="Free HTML Templates" name="description">
<!-- Favicon -->
<link href="img/favicon.ico" rel="icon">
<!-- Google Web Fonts -->
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Nunito:wght@400;600;700;800&family=Rubik:wght@400;500;600;700&display=swap" rel="stylesheet">
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<body>
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<div class="spinner"></div>
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<!-- Navbar Start -->
<div class="container-fluid position-relative p-0">
<nav class="navbar navbar-expand-lg navbar-dark px-5 py-3 py-lg-0">
<a href="index.html" class="navbar-brand p-0">
<h1 class="m-0"><i class="fa fa-users-cog me-2"></i>IAI</h1>
</a>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse">
<span class="fa fa-bars"></span>
</button>
<div class="collapse navbar-collapse" id="navbarCollapse">
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<a href="index.html" class="nav-item nav-link">Home</a>
<div class="nav-item dropdown">
<a href="#" class="nav-link dropdown-toggle active" data-bs-toggle="dropdown">Research Topics</a>
<div class="dropdown-menu m-0">
<a href="imitation.html" class="dropdown-item active">Imitation Learning</a>
<a href="bootstrap.html" class="dropdown-item">Bootstrap Learning</a>
<a href="causality.html" class="dropdown-item">Causality</a>
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<div class="row py-5">
<div class="col-12 pt-lg-5 mt-lg-5 text-center">
<h1 class="display-4 text-white animated zoomIn">Imitation Learning</h1>
</div>
</div>
</div>
</div>
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<div class="mb-5">
<h1 class="mb-4">Learning from human VR task demonstrations.</h1>
<p class="text_align">Learning from demonstration or Imitation learning is a popular approach to train the robotic agent to perform manipulation tasks.</p>
<p class="text_align">In this research, we are recording the task demonstrations from humans in virtual reality environments as part of an episodic memory. The robot can later ask task-related questions or get training data from the task-specific motions the human has performed.</p>
<!-- Video results Start -->
<div class="row g-5">
<div class="col-lg-6">
<video width="420" height="320" controls>
<source src="video/PouringCombined.mp4" type="video/mp4">
Your browser does not support the video tag.
</video><br>
<center><h3 style="color: #888;">VR APARTMENT KITCHEN</h3></center><br>
<p class="text_align">Virtual game in <b>Unreal Engine</b> where participants are asked to execute pouring tasks with different containers. Activity data both symbolic and sub-symbolic is logged as part of <b>narrative-enabled episodic memory</b>. The NEEM is then deployed on the web-based knowledge service openEASE.</p>
</div>
<div class="col-lg-6">
<video width="420" height="320" controls>
<source src="video/RobotPouringCombined.mp4" type="video/mp4">
Your browser does not support the video tag.
</video><br>
<center><h3 style="color: #888;">REAL APARTMENT KITCHEN</h3></center><br>
<p class="text_align">PR2 performs a similar pouring action in a real apartment kitchen where the parameters for the <b>CRAM pouring plan</b> are derived from human VR demonstrations.</p>
</div>
</div>
<!-- Video results End -->
</div>
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<div class="section-title section-title-sm position-relative pb-3 mb-4">
<h3 class="mb-0">Categories</h3>
</div>
<div class="link-animated d-flex flex-column justify-content-start">
<a class="h5 fw-semi-bold bg-light rounded py-2 px-3 mb-2" href="#"><i class="bi bi-arrow-right me-2"></i>Virtual Reality demonstrations</a>
<a class="h5 fw-semi-bold bg-light rounded py-2 px-3 mb-2" href="#"><i class="bi bi-arrow-right me-2"></i>Learning from demonstrations</a>
<a class="h5 fw-semi-bold bg-light rounded py-2 px-3 mb-2" href="#"><i class="bi bi-arrow-right me-2"></i>Pouring activity logged as NEEM</a>
<a class="h5 fw-semi-bold bg-light rounded py-2 px-3 mb-2" href="#"><i class="bi bi-arrow-right me-2"></i>Semantic imitation for task learning</a>
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<h3 class="mb-0">Tag</h3>
</div>
<div class="d-flex flex-wrap m-n1">
<a href="" class="btn btn-light m-1">LfD</a>
<a href="" class="btn btn-light m-1">Imitation Learning</a>
<a href="" class="btn btn-light m-1">Semantic task understanding</a>
<a href="" class="btn btn-light m-1">Machine Learning</a>
<a href="" class="btn btn-light m-1">NEEM</a>
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<a href="index.html" class="navbar-brand">
<h4 class="m-0 text-white">IAI University Bremen</h4>
</a>
<p class="mt-3 mb-4">The Institute for Artificial Intelligence (IAI) directed by Prof. Michael Beetz is part of the Faculty of Computer Science and member of the Center for Computing and Communication Technologies (TZI) at the University of Bremen.</p>
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<p class="mb-0">ai-office@cs.uni-bremen.de</p>
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