From cf26f41aaafaf77212d9db2db27f530e826781d6 Mon Sep 17 00:00:00 2001
From: Steven Feng <stevenfeng7@gmail.com>
Date: Thu, 2 Oct 2025 23:11:24 -0700
Subject: [PATCH] update publication to include gtc talks

---
 src/components/Publications.js | 18 ++++++++++++++++++
 src/styles/publications.scss   |  5 +++++
 2 files changed, 23 insertions(+)

diff --git a/src/components/Publications.js b/src/components/Publications.js
index 69975a9..ca51867 100644
--- a/src/components/Publications.js
+++ b/src/components/Publications.js
@@ -9,6 +9,8 @@ import hriLabGif from "../images/publications/hri_lab.gif"
 import urLousdVideo from "../images/publications/ur_lousd.mp4"
 import h1SilVideo from "../images/publications/h1_sil.mp4"
 import h1TrainVideo from "../images/nvidia/h1_Train.mp4"
+import carterOutdoorVideo from "../images/nvidia/Carter Outdoor.mp4"
+import clawVideo from "../images/nvidia/claw.mp4"
 
 // Helper function to detect if file is a video
 const isVideoFile = (url) => {
@@ -133,6 +135,22 @@ const Publications = () => {
       imageSrc: h1TrainVideo,
       projectLink: "https://d1qx31qr3h6wln.cloudfront.net/publications/Isaac%20Lab%2C%20A%20GPU-Accelerated%20Simulation%20Framework%20for%20Multi-Modal%20Robot%20Learning.pdf",
       type: "NVIDIA"
+    },
+    {
+      id: 4,
+      title: "Software-in-the-Loop Testing for Robots With OpenUSD, Isaac Sim, and ROS I",
+      subtitle: "NVIDIA GTC 2025",
+      imageSrc: carterOutdoorVideo,
+      projectLink: "https://www.nvidia.com/en-us/on-demand/session/gtc25-dlit71326/",
+      type: "NVIDIA"
+    },
+    {
+      id: 5,
+      title: "Learn OpenUSD: Robotics Best Practices I",
+      subtitle: "NVIDIA GTC 2025",
+      imageSrc: clawVideo,
+      projectLink: "https://www.nvidia.com/en-us/on-demand/session/gtc25-dlit71288/",
+      type: "NVIDIA"
     }
   ];
 
diff --git a/src/styles/publications.scss b/src/styles/publications.scss
index 2f49e91..8406975 100644
--- a/src/styles/publications.scss
+++ b/src/styles/publications.scss
@@ -179,6 +179,11 @@
         background: #76b900;
       }
       
+      // GTC orange (NVIDIA event color)
+      &[data-type="GTC"] {
+        background: #ff6600;
+      }
+      
       // Fallback for any other types
       background: rgba(0, 0, 0, 0.7);
     }