We first introduce Grasp-Anything-6D, a large-scale dataset for the language-driven 6-DoF grasp detection task with 1M point cloud scenes and more than 200M language-associated 3D grasp poses. We further introduce a novel diffusion model that incorporates a new negative prompt guidance learning ...
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Language-driven Grasp Detection with Mask-guided Attention Installation Checkout the robotic grasping package $ git clone https://github.com/anavuongdin/robotic-grasping.git Create a virtual environment $ conda create -n grasping python=3.9 Activate the virtual environment $ conda activate grasping...
Enhances decision-making: Helps professionals grasp essential information faster. Improves productivity: Reduces manual effort in document review.ExampleJournalists and analysts use NLP to summarize lengthy articles. Corporate teams summarize meeting transcripts and business reports.Personalized...
2.1. Grasp pose detection Grasp is a fundamental research topic in robotics, involving the precise manipulation of a robot's gripper to lift objects. Saxena et al. [19] introduced a point-based grasp pose representation, while Jiang et al. [20] used a rectangular box representation to account...
36 Inspired by transformer-based pretrained LMs, the large body of information in SMILES or FASTA files could be assimilated in the same way that humans do with sentences to grasp the semantics of molecules and their relationship to downstream tasks. Unlike early attempts at chemical representation...
机器人抓取姿态检测(Grasp Pose Detection): 早期的方法将抓取任务视为2D姿态检测,预测固定高度的定向矩形的朝向和宽度。 后来的研究关注于6-DoF抓取,使用深度信息增强抓取姿态检测,或利用点云作为输入提供局部几何信息。 一些工作通过融合RGB和深度信息来提高性能,特别是对于透明物体等光照挑战性物体。 3D特征场的重建...
Artificial intelligence (AI) has significantly impacted various fields. Large language models (LLMs) like GPT-4, BARD, PaLM, Megatron-Turing NLG, Jurassic-
We aspire for bilingual and multilingual models to achieve cross-linguistic comprehension and alignment, enabling these models to grasp shared linguistic characteristics and fostering the seamless assimilation of knowledge across diverse languages. Consequently, in this section, we predominantly investigate the...
et al. Rapid-response, widely stretchable sensor of aligned MWCNT/elastomer composites for human motion detection. ACS Sens. 1, 817–825 (2016). Article CAS Google Scholar Sundaram, S. et al. Learning the signatures of the human grasp using a scalable tactile glove. Nature 569, 698–702 ...