<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Robotics | Neeraj Balachandar | Research Portfolio</title><link>https://neerajbalachandar.github.io/tags/robotics/</link><atom:link href="https://neerajbalachandar.github.io/tags/robotics/index.xml" rel="self" type="application/rss+xml"/><description>Robotics</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://neerajbalachandar.github.io/media/icon_hu16206239388152479810.png</url><title>Robotics</title><link>https://neerajbalachandar.github.io/tags/robotics/</link></image><item><title>Nonlinear Model Predictive Control via Sequential Convex Programming for Drone-to-Drone Docking</title><link>https://neerajbalachandar.github.io/project/docking/</link><pubDate>Thu, 11 Sep 2025 00:00:00 +0000</pubDate><guid>https://neerajbalachandar.github.io/project/docking/</guid><description>&lt;h2 id="problem">Problem&lt;/h2>
&lt;p>This project develops sequential convex programming formulations for drone-to-drone docking. The focus is on safe, feasible trajectories that respect disturbance bounds and actuator limits while preserving computational tractability.&lt;/p>
&lt;figure class="project-detail-figure">&lt;img src="https://neerajbalachandar.github.io/project/docking/detail.png" alt="Nonlinear Model Predictive Control via Sequential Convex Programming for Drone-to-Drone Docking detail image" loading="lazy">&lt;/figure>
&lt;h2 id="approach">Approach&lt;/h2>
&lt;ul>
&lt;li>Convexified constraints for safety and docking geometry&lt;/li>
&lt;li>Robust thrust profiles under bounded disturbances&lt;/li>
&lt;li>Numerical validation on docking scenarios&lt;/li>
&lt;/ul></description></item><item><title>Sparus AUV Modelling and Control</title><link>https://neerajbalachandar.github.io/project/sparus-auv-modelling-control/</link><pubDate>Sat, 01 Jun 2024 00:00:00 +0000</pubDate><guid>https://neerajbalachandar.github.io/project/sparus-auv-modelling-control/</guid><description>&lt;h2 id="problem">Problem&lt;/h2>
&lt;p>Developed a hydrodynamic model for the Sparus AUV and implemented a Simulink-based stabilization controller for underactuated dynamics.&lt;/p>
&lt;figure class="project-detail-figure">&lt;img src="https://neerajbalachandar.github.io/project/sparus-auv-modelling-control/detail.png" alt="Sparus AUV Modelling and Control detail image" loading="lazy">&lt;/figure>
&lt;h2 id="approach">Approach&lt;/h2>
&lt;ul>
&lt;li>Derived a reduced hydrodynamic model suitable for control-oriented simulation.&lt;/li>
&lt;li>Implemented and tuned a Simulink stabilization loop for underactuated operating conditions.&lt;/li>
&lt;/ul></description></item><item><title>Adaptive Trajectory Planning with Sequential Convex Programming for Drone-to-Drone Docking</title><link>https://neerajbalachandar.github.io/publication/preprint/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://neerajbalachandar.github.io/publication/preprint/</guid><description>&lt;p>Accepted for presentation at AIAA SciTech 2026 (Session IS-24: Autonomy III).&lt;/p></description></item><item><title>On the Use of Gimbal-based Multi-DOF Platform for Hardware-in-Loop Reinforcement Learning for Characterizing the Dynamics of Underactuated Aerial Vehicles</title><link>https://neerajbalachandar.github.io/publication/gimbal-rl-underactuated-aerial/</link><pubDate>Mon, 01 Dec 2025 00:00:00 +0000</pubDate><guid>https://neerajbalachandar.github.io/publication/gimbal-rl-underactuated-aerial/</guid><description>&lt;p>In process for submission to IEEE Transactions on Robotics.&lt;/p></description></item></channel></rss>