- 🔭 Physical AI, VLM&VLA Model for AMR & [On-Device LLM]
🏆 2026 (The Latest) 가장 최근에 발표되었거나 진행 중인 연구들입니다.
📚 Recent Publications (최근 연구 실적) 주요 연구 분야인 Physical AI, AI Agent, LLM, Scalable Reasoning, Self-Evolution 관련 논문 목록
😄 Physics- and Tool-Validated Synthetic Episode Distillation for Tool-Use Behavioral Transfer in Industrial AI [PDF]
분야: Synthetic Episode Distillation, Tool-Use Behavioral Transfer, Industrial Reasoning, Physics-Based Simulation, LoRA
발표 연도: 2026
🪅 2026 열처리학회 발표 자료 [Foundation Model] [Sythetic Episode Distillation]
발표 연도: 2026
🖼️ Agentic AI 에서 Physical AI 까지: VLA 기반 자율 AI 시스템 구축 전략 [PDF]
분야: Generative AI, Agentic AI, Physical AI
발표 연도: 2026
⚖️ DSL Guided Sensor Context Reasoning for Safety Optimal Runtime Decision Making in Autonomous Mobile Robots [PDF] [Presentation]
IEEE, 2026 the 11th Asia-Pacific Conference on Intelligent Robot Systems
분야: Autonomous mobile robot, domain specific language, runtime validation, safety guard, sensor context reasoning
발표 연도: ACIRS 2026
🪅 DSL-Mediated Safe VLM Planning for Autonomous Mobile Robots via Runtime Validation [PDF] [Presentation]
분야: VLM, DSL, Sensor-Context Reasoning, Robot, AMR
발표 연도: INTCOM 2026
🤖 DSL-Guided Decoding for sLLM-based Robotics: From Probabilistic Reasoning to Deterministic Execution [PDF] [Presentaion] [Isaac Sim]
분야: Physical AI, DSL(Domain-Specific Langauage), AMR(Autonomous Mobile Robot)
발표 연도: JICS 2026
🚀 Scalable Reasoning via Task Decomposition and Model Routing [PDF]
분야: LLM, Reasoning, System Architecture
발표 연도: 2026
🎉 Self-Evolving Reasoning Agents through a GEPA Dynamic LLM Prompting [PDF] [Presentation]
분야: Dynamic Prompts, GEPA, Reasoning, Self-Evolving, LLM Agent
발표 연도: 2026
🪅 Safe AMR Control with DSL and sLLM [PDF]
분야: DSL, AMR, Reasoning, Robot, Agent
발표 연도: 2026
⚖️ MO-GRPO for Mitigating Reward Hacking in Multi-Objective LLM RL through a Variance-Equalizing Whitening Layer [PDF] [Presentation] [Narration]
분야: Multi-Objective Optimization (MOO), LLM RL
발표 연도: 2025
🤖 LLM Agent의 합리적 의사결정을 위한 Prompt 활용 연구 [PDF]
분야: AI Agent, Prompt Engineering
발표 연도: 2025
🛡️ 안전하고 해석 가능한 AI를 위한 GRPO(Group Relative Policy Optimization) BDI 보상 모델 [PDF]
분야: Interpretable AI (XAI), Reinforcement Learning (RL)
발표 연도: 2025
📰 2024 지난 해 주요 연구 성과 목록입니다.
📊 An Empirical Study of the Structural Understanding Capabilities of LLMs on Financial Document Tables [PDF]
분야: LLM, Financial AI, Table Understanding
발표 연도: 2024
📈 LLM 메타프롬팅을 활용한 기업 공시문서 분석에 관한 연구 [PDF]
분야: LLM, Meta-Prompting, Finance
발표 연도: 2024
⚙️ Design and Implementation of a Condition-Based Operation (CBO) using LLM-Based Multi-Agent Systems [PDF]
분야: Multi-Agent System, CBO, IoT
발표 연도: 2024
🖼️ Custom Hairstyle Image Generation and Similarity Analysis Using Diffuser and PEFT [PDF]
분야: Generative AI, Diffuser, PEFT
발표 연도: 2024
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