Загрузка...

로봇 학습 데이터 부족? 사람영상 쓰면 되죠 ImMimic:Cross-Domain Imitation from Human Videos via Mapping, Interpolation

발표일: 2026.04. 23

발표자: 고도규

제목: ImMimic: Cross-Domain Imitation from Human Videos via Mapping and Interpolation

게재: CORL 2025

발표 자료:
https://docs.google.com/presentation/d/1kJANrIbNdzi8qBw-jR2Rm2mXhfJIoRqP-jjW6UwZ66g/edit?usp=sharing

AIRLab: http://airlab.khu.ac.kr/

#seminar #AIRLAB #Robotics #robotlearning #robot #embodiedai

Видео 로봇 학습 데이터 부족? 사람영상 쓰면 되죠 ImMimic:Cross-Domain Imitation from Human Videos via Mapping, Interpolation канала AIRLab
Комментарии отсутствуют
Зарегистрируйтесь или войдите с
Информация о видео
17 июня 2026 г. 4:41:59
00:19:36
AIRLab
Правообладателям
Жалоба на материал Недопустимый материал Нарушение авторских прав
Комментарии
Поделиться
Другие видео канала

너에겐 점이지만 나에겐 선이야📐📏SOFT2: Stereo Visual Odometry Based on a Point-to-Epipolar-Line Metric(T-RO 2022)너에겐 점이지만 나에겐 선이야📐📏SOFT2: Stereo Visual Odometry Based on a Point-to-Epipolar-Line Metric(T-RO 2022)

오일러!🤜 라그랑지안!🤛 크로스!!!🤝 ELPINN: Eulerian Lagrangian Physics-Informed Neural Network오일러!🤜 라그랑지안!🤛 크로스!!!🤝 ELPINN: Eulerian Lagrangian Physics-Informed Neural Network

반사된 정보도 여기에 써먹어?!😮😮Intensity Assisted Automatic Extrinsic Calibration of LiDAR and Panoramic Camera반사된 정보도 여기에 써먹어?!😮😮Intensity Assisted Automatic Extrinsic Calibration of LiDAR and Panoramic Camera

이젠 로봇 관절마저 렌더링 해버림 ㄷㄷ 🩻🩻 Differentiable Robot Rendering (CoRL 2024 Oral)이젠 로봇 관절마저 렌더링 해버림 ㄷㄷ 🩻🩻 Differentiable Robot Rendering (CoRL 2024 Oral)

[AIRLAB@KHU 논문세미나] Denoising Diffusion Probabilistic Models[AIRLAB@KHU 논문세미나] Denoising Diffusion Probabilistic Models

[AIRLAB@KHU 논문세미나] POCO: Point Convolution for Surface Reconstruction[AIRLAB@KHU 논문세미나] POCO: Point Convolution for Surface Reconstruction

싱글샷→풀가구 실화냐🪑SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects(ICLR 2025)싱글샷→풀가구 실화냐🪑SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects(ICLR 2025)

[AIRLAB@KHU 논문세미나] Point Cloud Upsampling via Disentangled Refinement[AIRLAB@KHU 논문세미나] Point Cloud Upsampling via Disentangled Refinement

[AIRLAB@KHU 논문세미나] CVPR (2022) Unified Transformer Tracker for Object Tracking[AIRLAB@KHU 논문세미나] CVPR (2022) Unified Transformer Tracker for Object Tracking

네트워크를 뒤집어놓으셔따..!🫢 SegNeXt: Rethinking Convolution Attention for Semantic Segmentation (NIPS 2022)네트워크를 뒤집어놓으셔따..!🫢 SegNeXt: Rethinking Convolution Attention for Semantic Segmentation (NIPS 2022)

[AIRLAB@KHU 논문세미나] End-to-End Semi-Supervised Object Detection with Soft Teacher[AIRLAB@KHU 논문세미나] End-to-End Semi-Supervised Object Detection with Soft Teacher

나도 봐줘..ㅠ😿 Cut and Learn for Unsupervised Object Detection and Instance Segmentation (CVPR 2023)나도 봐줘..ㅠ😿 Cut and Learn for Unsupervised Object Detection and Instance Segmentation (CVPR 2023)

3시간 걸릴 data를 10분만에 모아서 가능👍 MimicPlay: Long-Horizon Imitation Learning by Watching Human Play3시간 걸릴 data를 10분만에 모아서 가능👍 MimicPlay: Long-Horizon Imitation Learning by Watching Human Play

자, 잘 봐. 이게 화살표라는거야↗️↙️↘️⬇️↙️. 이대로만 하면 돼💫 Robotic Visual Instruction (CVPR 2025)자, 잘 봐. 이게 화살표라는거야↗️↙️↘️⬇️↙️. 이대로만 하면 돼💫 Robotic Visual Instruction (CVPR 2025)

다 덮어버릴 거야 😝 Voronoi Multi-Robot Exploration in Unknown Environments via Reinforcement (TVT 2020)다 덮어버릴 거야 😝 Voronoi Multi-Robot Exploration in Unknown Environments via Reinforcement (TVT 2020)

[AIRLab X HYPER] The First Public Seminar[AIRLab X HYPER] The First Public Seminar

Diffusion? "느려..." CARP: Visuomotor Policy Learning via Coarse-to-Fine AutoRegressive PredictionDiffusion? "느려..." CARP: Visuomotor Policy Learning via Coarse-to-Fine AutoRegressive Prediction

눈 두 개 있는 파운데이션 모델 등장. (두둥) 👁️👁️FoundationStereo: Zero-Shot Stereo Matching(CVPR 2025)눈 두 개 있는 파운데이션 모델 등장. (두둥) 👁️👁️FoundationStereo: Zero-Shot Stereo Matching(CVPR 2025)

오늘 주제는 ViT Distillation입니다. 그런데 Singular Nullspace를 곁들인. SiNGER: Clearer Voice Distills ViT Further오늘 주제는 ViT Distillation입니다. 그런데 Singular Nullspace를 곁들인. SiNGER: Clearer Voice Distills ViT Further

이게 왜 개..?😵‍💫 Domain Adaptation via Prompt Learning (arXiv 2022)이게 왜 개..?😵‍💫 Domain Adaptation via Prompt Learning (arXiv 2022)

Яндекс.Метрика
© 2008-2026 «Информационно-развлекательный портал города Верхняя Салда»
salda.ws@mail.ru Контакты Карта портала Сообщить об ошибке Соглашения Пользовательское соглашение Соглашение о конфиденциальности Согласие на обработку персональных данных Информация для правообладателей Об использовании Cookies
Все заметки Новая заметка Страницу в заметки
Страницу в закладки Мои закладки
На информационно-развлекательном портале SALDA.WS применяются cookie-файлы. Нажимая кнопку Принять, вы подтверждаете свое согласие на их использование.
О CookiesНапомнить позжеПринять