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main/environments/third_party_environments/index.html

@@ -559,6 +559,11 @@ <h3>Robotics environments<a class="headerlink" href="#robotics-environments" tit
 <img alt="GitHub stars" src="https://img.shields.io/github/stars/JacopoPan/gym-pybullet-drones" /></p>
 <p>A simple environment using <a class="reference external" href="https://github.com/bulletphysics/bullet3">PyBullet</a> to simulate the dynamics of a <a class="reference external" href="https://www.bitcraze.io/documentation/hardware/crazyflie_2_1/crazyflie_2_1-datasheet.pdf">Bitcraze Crazyflie 2.x</a> nanoquadrotor.</p>
 </li>
+<li><p><a class="reference external" href="https://github.com/gustavo-moura/itomori">Itomori: UAV Risk-aware Flight Environment</a></p>
+<p><img alt="Gymnasium version dependency" src="https://img.shields.io/badge/Gymnasium-v0.29.1-blue" />
+<img alt="GitHub stars" src="https://img.shields.io/github/stars/gustavo-moura/itomori" /></p>
+<p>Itomori is an environment for risk-aware UAV flight, it provides tools to solve Chance-Constrained Markov Decision Processes (CCMDP). The env allows to simulate, visualize, and evaluate UAV navigation in complex and risky environments, incorporating variables like GPS uncertainty, collision risk, and adaptive flight planning. Itomori is intended to support UAV path-planning research by offering adjustable parameters, detailed visualizations, and insights into agent behavior in uncertain environments.</p>
+</li>
 <li><p><a class="reference external" href="https://github.com/NVIDIA-Omniverse/OmniIsaacGymEnvs/">OmniIsaacGymEnvs: Gym environments for NVIDIA Omniverse Isaac </a></p>
 <p>Reinforcement Learning Environments for <a class="reference external" href="https://docs.omniverse.nvidia.com/app_isaacsim/app_isaacsim/overview.html">Omniverse Isaac simulator</a>.</p>
 </li>