박종우 교수 사진

서울대학교AI대학원

박종우 연구실

박종우 교수 (Frank C. Park)

탑티어 논문
14
전체 논문
33
구성원
14
연구실 소개

이 연구실은 부분적으로 관측된 물체와 투명 물체의 인식, 3D 재구성 기반 탐색, grasp pose 생성 등 로봇 조작에 필요한 인식과 행동 생성 문제를 연구합니다. 또한 로봇 동역학의 학습과 적응, 복잡한 작업 조건에 맞춘 궤적 생성, 고자유도 로봇의 충돌 거리 학습과 함께 기하 구조를 반영한 생성 모델을 다룹니다.

AI가 최신 논문을 바탕으로 생성한 연구실 소개예요

연구실 홈페이지의 소개

What SNU Robotics Institute can Learn from the MIT Media Lab. He also enjoyed SNU’s scenic campus and many aspects of living in Korea. More importantly, he envisioned numerous ways to collaborate with SNU researchers: deploying existing projects, extending them into platforms, and building entire ecosystems around them. Dr. Shtarbanov used the word “impact” far more often than “research.” Impact is hardly an unfamiliar term to researchers at SNU. If anything, it is a word they are required to include in almost every research proposal. Researchers often struggle to imagine and describe “impact” before their work has even begun, as though the research were about to lead immediately to commercialization or a startup. For people accustomed to writing those ambitious projections, his insistence that researchers should think more deeply about impact was, frankly, somewhat puzzling. But the impact he describes is not a grand promise written in advance of the research. Nor is he saying that every paper must immediately lead to technology transfer or a startup. Those outcomes, he explains, happen in stages. To him, impact is closer to the work that begins after the paper is published. Broadly speaking, he says there are at least three factors by which he defines the true impact a technology project. The first is the number of users or beneficiaries served by the project. The second is the number of use cases or utilities the project offers. A technology that serves five different needs, for example, has greater impact potential than a technology that serves only one, all else being equal. The third factor is the number of progenies it enables. If a project engenders new discoveries and new projects, it creates what he calls a “posterity impact.” Its impact includes not only thos

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연구 분야

로보틱스 · 머신러닝 · Robot mechanics · planning · and control · Machine vision and learning · Mathematical systems theory

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