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<!DOCTYPE HTML>
<!--
Editorial by HTML5 UP
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Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
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<html>
<head>
<title>Somil Bansal</title>
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<a href="index.html" class="logo"><strong>Somil Bansal</strong></a>
<ul class="icons">
<li><a href="https://github.com/smlbansal" class="icon brands fa-github"><span class="label">Medium</span></a></li>
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<p align="justify">
<strong>I am an assistant professor in the Department of Aeronautics and Astronautics at Stanford, where I lead the <a href="https://smlbansal.github.io/sia-lab/index.html">Safe and Intelligent Autonomy Lab</a>. Before that, I was an assistant professor in the ECE department at the University of Southern California. Before joining USC, I spent a year as a Research Scientist at <a href="https://waymo.com/">Waymo</a> (formerly known as Google’s Self-Driving Car project).</strong>
</p>
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<p align="justify">
<em><strong> We are looking for undergraduate and graduate students to join our research group. If you are interested in robotics, control, and/or machine learning, consider <a href="https://smlbansal.github.io/sia-lab/joinus.html">joining us</a>!</strong></em>
</p>
<p> I am a final year Ph.D. student at UC Berkeley, advised by Prof. Claire Tomlin. I am broadly interested in the intersection of control and dynamical system theory, machine learning, and computer vision for robotic applications.
</p>
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<!-- </header> -->
<p align="justify">
I am broadly interested in robotics and autonomous systems. Specifically, my research focuses on understanding how machine learning methods can be combined with classical, model-based planning and control methods with the goal of enabling intelligent and safe decision making in complex and uncertain environments, especially when the robot relies on high-dimensional sensory inputs and data for decision making and control. For more information about our ongoing research, please check out our <a href="https://smlbansal.github.io/sia-lab/index.html">lab website</a>.
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(a) enabling robots to make intelligent decisions in a <em>data-efficient</em> manner, especially when they rely on perception and vision sensors;<br />
(b) assuring <em>robot safety</em> while it relies on learning for decision-making.
I am broadly interested in robotics and autonomous systems. My research focuses on understanding how machine learning can be used to enable robots to make intelligent decisions in new and hard-to-characterize environments. Particularly, I focus on two aspects of robot learning: (a) how can these decisions be made in a <em>scalable and data-efficient</em> manner by combining learning with the prior knowledge of the robot and its environment? (b) how can robots maintain <em>safety</em> while using learning for decision-making?
-->
</p>
<ul class="actions">
<li><a href="Papers/Somil_Bansal_CV.pdf" class="button big">C.V.</a></li>
<li><a href="https://scholar.google.com/citations?user=3mOq4dcAAAAJ&hl=en" class="button big">Google Scholar</a></li>
<li><a href="https://smlbansal.github.io/sia-lab/index.html" class="button big">Lab Website</a></li>
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<section>
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<h2>Contact</h2>
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<li class="icon solid fa-envelope"><p>somil AT stanford DOT edu</p></li>
<!-- <li class="icon solid fa-phone">+1 (510) 423-1651</li> -->
<li class="icon solid fa-home">Durand 256 <br />
Stanford CA 94305 </li>
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<!-- <section>
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<h2>News</h2>
</header>
<article>
<h3>September 2022</h3>
<p> New <a href="https://arxiv.org/pdf/2209.12336.pdf">paper</a> on providing safety guarantees for DeepReach. The scalability of DeepReach along with the proposed verification algorithm allows us to compute high-confidence safe sets for high-dimensional systems.<p>
<p> New <a href="https://arxiv.org/pdf/2209.14976.pdf">paper</a> on quickly updating safety assurances for an autonomous system online as the system or the environment factors change.<p>
<br>
<h3>April 2021</h3>
<p> We have released the code for DeepReach. You can check it out <a href="https://github.com/smlbansal/deepreach.git"> here</a>.<p>
<br>
<h3>February 2021</h3>
<p> <a href="https://arxiv.org/pdf/2011.02082.pdf"> DeepReach</a> has been accepted for publication at ICRA 2021.<p>
<br>
<h3>January 2021</h3>
<p> New paper on <a href="https://arxiv.org/pdf/2003.09354.pdf"> visual Navigation Among Humans</a> has been accepted to RA-L 2021.
<p> New paper on <a href="Papers/Sequential_Trajectory_Planning.pdf"> safe multi-UAV trajectory planning</a> has been accepted to TAC 2021.<p>
<br>
<h3>October 2020</h3>
<p> New paper on <a href="https://arxiv.org/pdf/2011.02082.pdf"> solving high-dimensional reachability problems using deep learning</a>. So far we have tested the method on computing up to 10D backward reachable sets/tubes and reach-avoid sets/tubes and have seen very promising results.
<p> New paper on <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9210199&casa_token=7FXauSHLlN0AAAAA:6eM2Whnb8PYD_9sk91jshVTvjaRKdsl_o6ZzXcB2ZPtLvfumB1LI0JPVdpsAdzghIdoB5gT5EV0H&tag=1"> designing a robust control framework for human motion prediction</a> (accepted to RA-L 2020).<p>
<br>
<h3>May 2020</h3>
<p> I am honored to receive the Eli Jury Award from UC Berkeley, EECS for "outstanding achievement in the area of systems, communications, control, or signal processing."
<p> Successfully defended my thesis at UC Berkeley! Thank you, Claire. Check out what I have been upto for the past 5 years <a href="https://youtu.be/TaZea0tqtMU"> [dissertation talk]</a>. <p>
<br>
<h3>April 2020</h3>
<p> Check out my talk on <a href="https://fast.wistia.net/embed/iframe/vx0jkmvo68"> scaling Hamilton-Jacobi reachability analysis for robotics at IPAM.</a> </p>
<br>
<h3>March 2020</h3>
<p> Excited to share our work on <a href="https://smlbansal.github.io/LB-WayPtNav-DH/"> viusal navigation among humans.</a> The work was done in collaboration with Google Brain research.
<p>We are organizing the 2nd workshop on <a href="https://sites.google.com/view/rss2020robustautonomy/home"> safe and robust autonomy</a> at RSS 2020. Check out our call for papers (due on 5 June, 2020).</p>
<br>
<h3>February 2020</h3>
<p> Check out our work on <a href="https://arxiv.org/abs/1910.13369"> safe navigation among humans.</a> We will present this work at ICRA 2020.
<p> New paper on <a href="https://arxiv.org/abs/1912.10120"> generating robust supervision for learning-based visual navigation</a> using Hamilton-Jacobi reachability. We will present this work at L4DC 2020.</p>
<br>
<h3>I am applying for faculty positions this Fall (<a href="Papers/Research_Statement - Somil Bansal.pdf"><u>research statement</u></a>).</h3>
<br>
<h3>December 2019</h3>
<p> I will be at CDC 2019! Check out our work on:<br />
- <a href="https://arxiv.org/abs/1909.05699"> A task-specific model learning framework using Bayesian Optimization</a>, Wednesday (Dec 11), 11:20-11:40am, Risso 8 (WeA23.5).<br />
- <a href="https://smlbansal.github.io/website-safe-navigation/"> A provably safe framework for perception-based navigation in unknown environments</a>, Wednesday (Dec 11), 2-2:20pm, Risso 8 (WeB23.1).<br />
- <a href="https://arxiv.org/abs/1903.07715"> A warm-starting method for efficiently updating reachability-based safety guarantees</a>, Thursday (Dec 12), 6:10-6:30pm, Méditerranée 5 (ThC03.6).<br />
- Meet the Faculty Candidate poster session, Wednesday (Dec 11), 6:30-8:30pm, Rhodes Exhibition area.
</p>
<br>
<h3>November 2019</h3>
<p> I will be at the 2019 NSF Cyber-Physical Systems Principal Investigators' Meeting presenting our work on <a href="https://smlbansal.github.io/website-safe-navigation/"> safe navigation in unknown environments.</a>
<p>We have released the code for our CoRL paper on combining optimal control and deep learning for visual navigation. <a href="https://github.com/smlbansal/Visual-Navigation-Release">Check it out!</a></p>
<br>
<h3>October 2019</h3>
<p>I will be at CoRL 2019 presenting our work on <a href="https://smlbansal.github.io/LB-WayPtNav/">Combining optimal control and deep learning for visual navigation.</a></p>
<br>
<h3>September 2019</h3>
<p>New paper on <a href="https://arxiv.org/abs/1910.13369">Predicting and Analyzing Human Motion for Safe Motion Planning</a> posted on arXiv.</a></p>
<br>
<h3>August 2019</h3>
<p>Three papers accepted to CDC 2019.</p>
</article>
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<h2>Somil Bansal</h2>
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<li><a href="index.html">Homepage</a></li>
<li><a href="about.html">Bio</a></li>
<li><a href="https://smlbansal.github.io/sia-lab/research.html">Research</a></li>
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<li><a href="https://smlbansal.github.io/sia-lab/publications.html">Publications</a></li>
<li><a href="https://smlbansal.github.io/sia-lab/talks.html">Talks</a></li>
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