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<h2>Stefanos Charalambous</h2>
<h3>Robotics Intern</h3>
<h3>
<a href="https://ai.sony/" target="_blank" rel="noopener">
<span>Sony AI</span>
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<h1>About Me</h1>
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<p>I am a Robotics Intern at Sony AI. I received my MSc from ETH Zürich, where I was a research assistant at the <a href="https://rsl.ethz.ch/" target="_blank" rel="noopener">Robotic Systems Lab</a>, as well as a teaching assistant for the <a href="https://rsl.ethz.ch/education-students/lectures/ros.html" target="_blank" rel="noopener">Programming for Robotics - ROS</a> and <a href="https://idsc.ethz.ch/education/lectures/model-predictive-control.html" target="_blank" rel="noopener">Model Predictive Control</a> courses. My studies at ETH were supported by the <a href="https://www.onassis.org/initiatives/onassis-communities/onassis-scholars-association" target="_blank" rel="noopener">Onassis Foundation</a>. Previously, I completed my BSc in Mechanical Engineering at <a href="https://www.me.gatech.edu/" target="_blank" rel="noopener">Georgia Tech</a>.</p>
<!-- I am particularly passionate about leveraging machine learning-based methods to advance towards general-purpose embodied intelligence. For example, my master's thesis focused on developing a multi-stage training pipeline by combining RL and MPC for sample-efficiency and strong generalization. -->
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<li>Efficient Reinforcement Learning</li>
<li>Contact-rich motion planning and control</li>
<li>General-purpose embodied intelligence</li>
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<p class="course">MSc in Robotics, Systems and Control, 2021 - 2023</p>
<p class="institution">ETH Zürich</p>
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<p class="course">BSc in Mechanical Engineering, 2020</p>
<p class="institution">Georgia Institute of Technology</p>
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