연구

논문

새로 나온 로봇, 피지컬 AI 논문과, 각 논문이 업계에 갖는 의미.

논문 2편

난이도전체 입문 중급 전문가

아직 한국어판이 없어 영어 원문으로 표시.

기술 필터 적용 중: 라이다(LiDAR), 해제

2026년 9월 30일arXiv

Perception전문가

TACTIC: Temporal and Context-Aware LLM Tactical Planning for Roadside LiDAR Attacks

Yiming Gao, Shaocheng Luo

Physical LiDAR attacks are often evaluated using fixed primitives and manually selected parameters, despite their strong dependence on surrounding traffic. We present TACTIC, a scene-aware framework that uses a multimodal large language model (MLLM) to coordinate state-adaptive roadside LiDAR attacks.

라이다(LiDAR)

논문 전문 읽기 (PDF)

2026년 9월 29일arXiv

Perception전문가

PhysWAM: Physically Consistent World Action Model for Autonomous Driving

Dhruv Parikh, Fengcheng Yu, Quankai Gao, Jiawei Yang, Junjie Ye, Maulik Bhatt, Thang Vu, Charles Ochoa, Rowan McAllister, Igor Vasiljevic, Rajgopal Kannan, Viktor Prasanna, Vitor Guizilini, Yue Wang

World-action models (WAMs) jointly predict how a scene will evolve and how an agent should act, however joint generation alone does not necessarily impose a shared geometric constraint on these predictions. We present PhysWAM, a unified world-action model for autonomous driving that co-denoises multiview video, metric depth, and ego motion within a single flow-matching transformer.

라이다(LiDAR)

논문 전문 읽기 (PDF)

논문은 arXiv 로봇 피드에서 가져옵니다. 요약이 아직 작성되지 않은 논문은 초록의 첫 부분을 보여줍니다.