Projects

We pursue projects that integrate perception, cognition, and action to enable intelligent agents to learn autonomously and interact effectively with the physical world.

Featured

PICA (Perception, Imagination, Cognition, Action)

새로운 문제를 새로운 상황에 대해
❶ 스스로 문제를 인지하고, 이를 해결하기 위한
❷ 탐색 기반 가설 생성 및 평가와
❸ 필요한 데이터의 자동 탐색, 분석을 통하여
❹ 순차적 추론을 통한 문제 해결을 위해
스스로 학습하는 ‘자기주도 인공지능’

resource

LBA (Learning By Asking)

불확실한 환경 이해를 위한 능동적 질의 생성 기술
❶ 불확실성 최소화를 위한 질의 및 샘플 생성 기반의 환경 이해
❷ 능동적인 질의응답을 통해 에이전트의 불확실한 초기 지식을 성장시키는 기술 개발

resource

Embodied AI (Robotics Foundation Models)

Multimodal Perception of Mobile Robots
❶Object detection, Multi-Agent Map Merging, Visual Grounding and Manipulation 등 로봇 AI 기술 개발
❷다중 주행로봇의 2D Map 병합 기술 개발

Arm Robot 조작 관련 체화된 AI 행동 기술
❶ROS 기반 실세계 로봇 제어 시스템 개발
❷자연어 기반 로봇 평생 학습 기술 개발
❸필요 물체 관측 가능 여부를 인지 및 물체 위치 추적 기술

resource

Current Projects

• Learning By Asking (LBA): Developing AI agents aware of their uncertainty that can actively learn by asking questions.
• Tank: Developing autonomous tank crew algorithms using deep reinforcement learning techniques for enhanced operational capabilities.
• KAI: Developing AI algorithms using reinforcement learning for autonomous fighter jet operation and tactical decision-making.
• Embodied AI: Research and development of embodied AI systems possessing physical forms to interact with and learn from the real world.
• Alchemist: Project Alchemist focuses on advancing humanoid robotics capabilities to the next level, enhancing mobility, interaction, and intelligence.
• GSAI: Researching and developing large-scale foundational behavior models for embodied AI agents to effectively solve complex real-world problems.
• 자기주도: Developing self-directed AI capable of autonomous problem identification, hypothesis generation, data acquisition, and sequential reasoning for continuous learning and problem-solving.
• AI Hub: Developing a Universal Learning Machine (ULM) via an open collaborative framework, enabling continuous self-learning and performance improvement in machine learning algorithms.

Completed Projects

• StarLab Project: Cognitive Agents That Learn Everyday Life
• DeepAction: Deep Learning of TV Viewer Activities
• DeepClone: Cloning Humans for Scheduling Personal Service Robots
• CogHRI: Cognitive Communication as Moving Target Tracking
• Molecular AI: Intelligent Nanobio Agents That Learn
• BabyMind Project: Infant-Mimic Neurocognitive Developmental Machine Learning from Interaction Experience with Real World (2020~2020)
• Embodied Intelligence(EI): Embodied Artificial Intelligence that Interacts with the Real World (2023~2023)
• Video Turing Test(VTT): Development of human-level video understanding intelligence (2017~2021)
• Molecular ML: Bio-Inspired Human-Level Machine Learning (2012~2015)
• Videome: Cognitive Machine Learning from Digital Videos (2011~2015)
• mLife: Identifying Human Mobile Behaviors in Context (2010~2015)
• RoboMotion: Learning to Generate Robot Motions from Human Activity Sequences (2011~2013)
• BrainNet: Uncovering the Hyperedges of Cortical Brain Graphs (2010~2013)
• DietAdvisor: A Smart Phone Agent That Recommends Meals and Exercises (2011~2012)
• MARS: A Multimodal Associative Recommendation System (2009 ~ 2010)
• Xtran: Crossmodal Translation of Language and Vision (2008~2010)
• MMG: Cognitive Learning and the Multimodal Memory Game (2007 ~ 2010)
• E-Learn: Personalized e-Learning with Bayesian Networks (2009 ~ 2010)
• Lavatar: Learning Avatars in Virtual Worlds (2009)
• MEC (Phase 3): DNA Computing Algorithms for Molecular Diagnosis (2006 ~ 2009)
• SKT: Hypernetwork Models for Language Learning (2007 ~ 2008)
• MLScene: Learning and Inference from Camera Scene Data (2007)
• ProMiR: Probabilistic Prediction of microRNA (2004~2007)
• MEC (Phases I and II): Molecular Evolutionary Computing (2000 ~ 2006)
• HyperSNP: Hypergraph Modeling for Large-Scaling Data Analysis (2007~2008)
• AptaCDSS II: A Clinical Decision Assistant System with Knowledge Discovry - A Post AptaCDSS System (2006 ~ 2007)
• DNAChipBench (NRL Project): Intelligent Design and Analysis Technology for DNA Chips (2002~2007)
• LGCore: Machine Learning Technologies for Performance Prediction of Digital Appliances (2006)
• AptaCDSS: A diagnosis support system for cardiovascular disease using aptamer chip (2005-2006)
• SysBio: In silico modeling and network construction of chromosomal replication and segregation (2003-2005)
• LaText: Text mining based on latent variable models (2001 ~ 2004)
• BrainGene: DNA data mining for the analysis of expression patterns of vertebrate brain development-specific genes (rat) (2001 ~ 2003)
• MrHumor: A personalized Internet agent that recommends humors and jokes (2002 ~ 2002)
• AngioProt: Development of a prediction algorithm for angiogenesis-related molecules (2001 ~ 2002)
• MicroGene: Microbial gene identification using probabilistic graphical models (2001 ~ 2002)
• ProClass: Protein classification based on molecular sequence and text information (2000 ~ 2001)
• BioText: Information extraction from biological texts based on Markov models (2000)
• DMDM: DNA microarray data mining using unsupervised learning techniques (2000)
• LEONN: Learning and evolution of neural networks (1998 ~ 2001)
• FACT: Text filtering and classification from large-scale document collections (1998 ~ 2001)
• EOS: Online learning of robot behaviors with evolvable hardware (1998~ 2000)
• NetMining: Network intrusion detection using active datamining techniques (1998 ~ 2000)
• eClerk: A learning agent for recommending products at a virtual shopping mall (1998 ~ 1999)
• NACST: Nucleic acid computing simulation toolbox (1998 ~ 1999)
• ScaiTrec: SCAI at Text REtrieval Conference (TREC) (1998 ~ )
• STAR: Statistical learning for ambiguity resolution (1998)
• WAIR: Intelligent learning agents for personalized information retrieval on the Web (1997 ~ 1998)
• ECTOP: Evolutionary computing theory for optimization (1997)
• MACS: Evolving homing and herding behaviors of multiple robotic agents (1996 ~ 1999)
• AGIPT: Adaptive genetic programming systems for flexible information processing (1996 ~ 1998)
• ALENN: Active learning evolutionary neural networks (1996)
• GAMAR: Genetic algorithms for multicast routing (1995 ~ 1997)