Feb. 23, 2024, 5:46 a.m. | Junting Chen, Yao Mu, Qiaojun Yu, Tianming Wei, Silang Wu, Zhecheng Yuan, Zhixuan Liang, Chao Yang, Kaipeng Zhang, Wenqi Shao, Yu Qiao, Huazhe Xu, Min

cs.CV updates on arXiv.org arxiv.org

arXiv:2402.14623v1 Announce Type: cross
Abstract: Rapid progress in high-level task planning and code generation for open-world robot manipulation has been witnessed in Embodied AI. However, previous studies put much effort into general common sense reasoning and task planning capabilities of large-scale language or multi-modal models, relatively little effort on ensuring the deployability of generated code on real robots, and other fundamental components of autonomous robot systems including robot perception, motion planning, and control. To bridge this ``ideal-to-real'' gap, this paper …

abstract arxiv capabilities code code generation common sense cs.ai cs.cl cs.cv cs.ro embodied embodied ai form free general language manipulation modal multi-modal open-world planning progress reasoning robot robot manipulation scale sense simulation studies tasks type world

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Senior Data Quality Specialist

@ M&T Bank | Buffalo, NY

Data Quality Technician

@ Bureau Veritas Group | Vancouver, British Columbia, CA