Nghiên cứu Papers
Bản tóm tắt dễ hiểu về các nghiên cứu robot mới nhất — robot hình người, robot bốn chân, tự động hóa công nghiệp và AI.
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Three Surgical Cameras Reveal When Robots See Much Better in 3D

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Evaluating World Models for Robot Control Under Real-Time Feedback

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Robust LiDAR Semantic Segmentation for Safe Autonomous Driving Deployment

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Imitation Learning Loses Dexterous Robot Robustness at Higher Speeds

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Humanoid Robots Open Doors, Recover, and Sort Objects Autonomously

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Pepper Robots Learn Where to Look Before Moving Through Dense Foliage

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Autonomous Robot Manipulation Skills Through Language-Driven Quality-Diversity

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Two Arms Build 3D Maps from Calibrated RGB-D Data for Robots

AI1 thg 9
Persistent Programs for Language-Grounded Robot Control, Learning, and Transfer

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Pictura Trains Self-Driving Policies with Perspective Self-Play at Scale

AI31 thg 8
Particle World Modeling for Text-Assisted Robot Video Prediction

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ChainSplat Helps Robots Learn Flexible Object Motion From RGB Video

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Transitional AV Lane-Change Dataset Reveals How Gaps Converge and Collision Risk Peaks

AI30 thg 8
New Model Teaches Robots to Predict Visual Changes with Uncertain Latent Actions

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Riemann-1.0 Builds Embodied World Action Models for Physical AI

AI29 thg 8
Robotic Active Sensing Maps Plant Stress Across Individual Plant Leaves

AI29 thg 8
State-Aware Task Planning with Multimodal LLMs for Human-Robot Collaboration

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Scheduling Marine Autonomous Vehicle Fleets for Greater Scientific Impact

AI28 thg 8
