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Robot Learning Lab

Robot Learning Lab

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학부생·인턴·석사·박사 등 모든 레벨의 학생을 적극 모집. 영어로 clvrai.apply@gmail.com에 연락하고, KAIST 김재철AI대학원 포털로 정식 지원하며 Joseph Lim 교수를 명시해야 함.

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Professor

About

임재환(Joseph J. Lim) 교수가 이끄는 CLVR(Cognitive Learning for Vision and Robotics) 연구실은 KAIST 김재철AI대학원 소속으로, 인공지능의 학습과 추론, 특히 인지(perception)와 행동(action)에 초점을 둔다. 로봇 학습, 강화학습, 스킬 기반 학습, 비전-언어-행동 모델, 로봇 조작 등을 연구한다.

Research keywords

Machine LearningRobot LearningReinforcement LearningComputer Vision

Selected publications

  • ReWiND: Language-Guided Rewards Teach Robot Policies without New DemonstrationsCoRL (Oral) · 2025
  • Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functionsRLC (Outstanding Paper Award) · 2025
  • Subtask-Aware Visual Reward Learning from Segmented DemonstrationsICLR · 2025
  • QMP: Q-switch Mixture of Policies for Multi-Task Behavior SharingICLR · 2025
  • EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline DataCoRL · 2024
  • DROID: A Large-Scale In-the-Wild Robot Manipulation DatasetRSS · 2024
  • Open X-Embodiment: Robotic Learning Datasets and RT-X ModelsICRA (Best Conference Paper Award) · 2024
  • SPRINT: Scalable Policy Pre-Training via Language Instruction RelabelingICRA · 2024

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