[플라잎] Dual-arm Bin Picking Skill | Unstructured Picking Demo

양팔로봇이 학습한 피킹 스킬은 정해진 규칙 없이, 무작위로 쌓인 물체를 스스로 판단해 집고, 실패하면 다시 시도합니다. ▶️ Highlights Real2Sim Model Validation | 실 데이터 학습 후 시뮬레이션 다중 검증 Flexible & High-Speed | 유연하고 빠른 로봇 모션 제어 Rule-Free Multi-Mode Picking | 룰 없는 End-to-End 무작위 피킹 Shifting & Retrying Skill | 물체 시프팅 및 자율 재시도 파지 Object Sorting | 색상별 오브젝트 구별 및 정렬 플라잎은 현장 경험을 재사용 가능한 로봇 스킬로 축적하는 Physical AI를 만들고 있습니다! Our dual-arm robot has learned a picking skill that enables it to assess and pick randomly piled objects without predefined rules—and retry when a pick fails. ▶️ Highlights Real2Sim Model Validation : Training on real-world data followed by repeated simulation-based validation Flexible & High-Speed : Flexible robot motion and fast task execution Rule-Free Picking with Multiple Valid Solutions : End-to-end picking in unstructured environments without predefined rules Shifting & Retrying Skill : Shifting objects and autonomously retrying failed picks Object Sorting : Identifying and sorting objects by color PLAiF is building Physical AI that turns real-world experience into reusable robot skill ✨ We Create a Better World , PLAiF 🚀 🤖 : www.plaif.com 📧 : plaif@plaif.com ⌨️ : recruit@plaif.com