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<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title/><link>https://ehsan-ami.github.io/</link><atom:link href="https://ehsan-ami.github.io/index.xml" rel="self" type="application/rss+xml"/><description/><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 29 Mar 2026 00:00:00 -0600</lastBuildDate><image><url>https://ehsan-ami.github.io/media/icon_hu_da05098ef60dc2e7.png</url><title/><link>https://ehsan-ami.github.io/</link></image><item><title>RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation</title><link>https://ehsan-ami.github.io/projects/rlftsim/</link><pubDate>Sun, 29 Mar 2026 00:00:00 -0600</pubDate><guid>https://ehsan-ami.github.io/projects/rlftsim/</guid><description/></item><item><title>RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning</title><link>https://ehsan-ami.github.io/publications/ahmadi-2026-rlftsim/</link><pubDate>Sun, 29 Mar 2026 00:00:00 +0000</pubDate><guid>https://ehsan-ami.github.io/publications/ahmadi-2026-rlftsim/</guid><description/></item><item><title>CRiTIC: Causal Attention Gating for Robust Trajectory Prediction</title><link>https://ehsan-ami.github.io/projects/critic/</link><pubDate>Sat, 28 Mar 2026 00:00:00 -0600</pubDate><guid>https://ehsan-ami.github.io/projects/critic/</guid><description/></item><item><title>Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving</title><link>https://ehsan-ami.github.io/publications/ahmadi-2024-curb-your-attention/</link><pubDate>Sat, 28 Mar 2026 00:00:00 +0000</pubDate><guid>https://ehsan-ami.github.io/publications/ahmadi-2024-curb-your-attention/</guid><description/></item><item><title>CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving</title><link>https://ehsan-ami.github.io/publications/mirkhani-2026-caps/</link><pubDate>Fri, 27 Mar 2026 00:00:00 +0000</pubDate><guid>https://ehsan-ami.github.io/publications/mirkhani-2026-caps/</guid><description/></item><item><title>Getting SMARTER for Motion Planning in Autonomous Driving Systems</title><link>https://ehsan-ami.github.io/publications/alban-2025-smarter/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://ehsan-ami.github.io/publications/alban-2025-smarter/</guid><description/></item><item><title>Arash: A social robot buddy to support children with cancer in a hospital environment</title><link>https://ehsan-ami.github.io/publications/meghdari-2018-arash/</link><pubDate>Tue, 13 Feb 2024 00:00:00 +0000</pubDate><guid>https://ehsan-ami.github.io/publications/meghdari-2018-arash/</guid><description/></item><item><title>My First Post</title><link>https://ehsan-ami.github.io/blog/my-first-post/</link><pubDate>Sat, 03 Oct 2020 23:14:00 -0600</pubDate><guid>https://ehsan-ami.github.io/blog/my-first-post/</guid><description><p>Hellow World!</p></description></item><item><title>A socially aware SLAM technique augmented by person tracking module</title><link>https://ehsan-ami.github.io/publications/ahmadi-2019-social-slam/</link><pubDate>Sun, 01 Dec 2019 00:00:00 +0000</pubDate><guid>https://ehsan-ami.github.io/publications/ahmadi-2019-social-slam/</guid><description/></item><item><title>Playing Rock-Paper-Scissors with RASA: A Case Study on Intention Prediction in Human-Robot Interactive Games</title><link>https://ehsan-ami.github.io/publications/ahmadi-2019-rock-paper-scissors/</link><pubDate>Fri, 01 Nov 2019 00:00:00 +0000</pubDate><guid>https://ehsan-ami.github.io/publications/ahmadi-2019-rock-paper-scissors/</guid><description/></item><item><title>AMEND: A Mixture of Experts Framework for Long-tailed Trajectory Prediction</title><link>https://ehsan-ami.github.io/publications/mercurius-2024-amend/</link><pubDate>Wed, 02 Jan 2019 00:00:00 +0000</pubDate><guid>https://ehsan-ami.github.io/publications/mercurius-2024-amend/</guid><description/></item><item><title>Design and Construction of a Mobile Social Robot for Pediatric Cancer Hospitals (Arash Robot)-Part III: Position Control Comprising Simultaneous Localization and Mapping (SLAM) technique</title><link>https://ehsan-ami.github.io/publications/ahmadi-thesis-2019/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://ehsan-ami.github.io/publications/ahmadi-thesis-2019/</guid><description/></item><item><title>Arash: A Humanoid Social Robot</title><link>https://ehsan-ami.github.io/projects/arash/</link><pubDate>Tue, 20 Nov 2018 17:00:00 -0600</pubDate><guid>https://ehsan-ami.github.io/projects/arash/</guid><description><p>Arash is a social companion robot for children with cancer. My focused research on the Arash project is utilizing SLAM techniques enable the robot to concurrently map the environment and localize itself in the map. I have also investigated augmenting the SLAM technique by a person-tracker module to achieve higher mapping and localization accuracies. In addition to this, I was the key person who was mainly in charge of Arash&rsquo;s software development. I have developed some variety of different software packages from low-level control modules to high-level-control modules utilizing the ROS ecosystem. Personally, Arash is the most amazing project that I have ever contributed to with a great team. Furthermore, since Arash is devoted to helping children with cancer, I found it a lovely philanthropic project. We have also tested Arash in some hospital environments and investigated its acceptability and aliveness in a storytelling scenario.</p>
<h2 id="video-1-a-demo-of-the-arash-robot"><div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;">
<iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share; fullscreen" loading="eager" referrerpolicy="strict-origin-when-cross-origin" src="https://www.youtube.com/embed/TlgmeBRG_qw?autoplay=0&amp;controls=1&amp;end=0&amp;loop=0&amp;mute=0&amp;start=0" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" title="YouTube video"></iframe>
</div>
Video 1: A demo of the Arash robot</h2></description></item><item><title>Painter Robot</title><link>https://ehsan-ami.github.io/projects/painter_robot/</link><pubDate>Wed, 01 Aug 2018 20:09:22 -0600</pubDate><guid>https://ehsan-ami.github.io/projects/painter_robot/</guid><description><p>During my stay at the University of Trieste in Italy, I have worked on the painter robot project under the supervision of Dr. Gallina. In this project, I have developed a novel optimized non-photorealistic rendering method which is inspired by Painterly algorithm. Utilizing the new method minimizes brush strokes overlapping on the canvas and decreases the cost of operation time. Additionally, I have also developed a python interface which gets brush strokes as the input data and paints them on the canvas by controlling a UR10 arm robot using MoveIt and ROS.</p>
<p><div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;">
<iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share; fullscreen" loading="eager" referrerpolicy="strict-origin-when-cross-origin" src="https://www.youtube.com/embed/It1MZjo98vY?autoplay=0&amp;controls=1&amp;end=0&amp;loop=0&amp;mute=0&amp;start=0" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" title="YouTube video"></iframe>
</div>
Video: A demo of the painter robot while painting a hand</p>
<h2 id="hahahugoshortcode20s1hbhb"><figure><img src="https://ehsan-ami.github.io/projects/painter_robot/rendered_horse.jpg"><figcaption>
<h4>Figure: A rendered image using the developed algorithm</h4>
</figcaption>
</figure>
</h2></description></item><item><title>“Xylotism”: A Tablet-Based Application to Teach Music to Children with Autism</title><link>https://ehsan-ami.github.io/publications/elahi-2017-xylotism/</link><pubDate>Wed, 01 Nov 2017 00:00:00 +0000</pubDate><guid>https://ehsan-ami.github.io/publications/elahi-2017-xylotism/</guid><description/></item></channel></rss>