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@@ -68,3 +71,89 @@ export function WeChatGroup() {
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</DrawerContent>
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)
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}
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exportfunctionEmbodied(){
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return(
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<DrawerContent>
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<DrawerHeader>
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<DrawerTitleclassName='text-xl'>
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Embodied AI
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</DrawerTitle>
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</DrawerHeader>
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<divclassName="w-full flex justify-center px-6">
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<divclassName="max-w-5xl">
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Embodied AI is the integration of artificial intelligence with the physical world, enabling robots to interact with and learn from the real world. We focus on the most critical areas of embodied AI, including humanoid, robot manipulation, and dexterous hand. Our goal is to explore the scaling law for robots, develop general world models, and unveil the power of reinforcement learning to achieve general-purpose embodied agents.
Autonomous Driving stands at the intersection of intelligence, world modeling, and safety alignment, enabling vehicles to respond to the surroundings effectively for both comfort and safety. We target the crucial areas of autonomous driving, including whole-scene perception systems, critical data generation, and end-to-end decision-making. Our mission is to establish a comprehensive pipeline by leveraging massive real-world driving data and building efficient world representation for safe and generalizable autonomy.
description: "A comprehensive framework up-to-date that incorporates full-stack driving tasks in one network.",
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keys: ['editor_pick'],
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keys: ['editor_pick','drawer_e2e'],
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},
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{
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title: "AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems",
@@ -137,7 +137,7 @@ export const publications: {
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},
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],
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description: "In this survey, we provide a comprehensive analysis of more than 270 papers on the motivation, roadmap, methodology, challenges, and future trends in end-to-end autonomous driving.",
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keys: ['editor_pick'],
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keys: ['editor_pick','drawer_e2e'],
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},
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{
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title: "DriveLM: Driving with Graph Visual Question Answering",
@@ -259,7 +259,7 @@ export const publications: {
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},
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],
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description: "We propose a general pre-training pipeline that learns Manipulation by Predicting the Interaction (MPI).",
description: "ReSim is a driving world model that enables Reliable Simulation of diverse open-world driving scenarios under various actions, including hazardous non-expert ones. A Video2Reward model estimates the reward from ReSim's simulated future.",
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keys: ['end_to_end_ad'],
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keys: ['end_to_end_ad','drawer_e2e'],
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},
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{
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title: "ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models",
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