21 skills found
otaheri / GrabNetGrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)
NVlabs / AcronymThis repository contains a sample of the grasping dataset and tools to visualize grasps, generate random scenes, and render observations. The two sample files are in the HDF5 format.
atenpas / GpgGenerate grasp pose candidates in point clouds
davetcoleman / Moveit Simple GraspsGenerate basic grasp poses for simple objects such as blocks or cylinders
stevenlsw / ContactgenContactGen: Generative Contact Modeling for Grasp Generation (ICCV 2023)
zhaobinglei / REGNet For 3D GraspingRGENet is a REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds. It aims at generating the optimal grasp of novel objects from partial noisy observations.
zjnbwxq / InsightSummarizerAI-driven tool that generates concise and coherent summaries of books, extracting key insights to help you grasp the essence quickly and efficiently.
junchengli1 / Sim GraspSim-Grasp offers a simulation framework to generate synthetic data and train models for robotic two finger grasping in cluttered environments.
qqianfeng / FFHNetCode for ICRA2022 paper: FFHNet : Generating Multi-Fingered Robotic Grasps for Unknown Objects in Real-time
GreamDesu / OpenDeepArxivOpenDeepArxiv is an open-sourced project designed to streamline the process of searching for research papers on arXiv, filtering based on relevance, and generating comprehensive PDF reports complete with summaries. This pipeline leverages state-of-the-art summarization techniques to help researchers quickly grasp the latest findings in their fields
vanstrong12138 / GraspGenGraspGen is an system that generates robotic grasp poses for known objects.
Loahit5101 / GR ConvNet GraspingDeep Robotic Grasping using Generative Residual Convolutional Neural Networks that can generate robust antipodal grasps from RGB-D input images at real-time
patrickeala / GraspSamplerGraspSampler is a library that efficiently generates grasping datasets by quickly sampling millions of parallel-jaw grasps around specific target objects.
shashwat-ghatiwala / Grasping DiffusionDiffusion models to generate unconstrained and constrained grasps on 3D objects - Acronym annd CONG dataset
choicelab / Reachability Aware 6dof GraspingImplementation of our ICRA2020 paper "Learning to Generate 6-DoF Grasp Poses with Reachability Awareness" in PyTorch
Tschucki / Pr0gramm TldrPr0gramm TLDR Bot, which generates concise summaries of lengthy comments, making it easier to grasp the key points of a comment without the need to read through extensive text.
AlexMLourenco / GRASP MAImplementation of a GRASP (Greedy Randomized Adaptive Search Procedure) with the HC (Hill Climbing) as its Adaptive Search procedure and a MA (Memetic Algorithm) using the GR method to generate the first population
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jackrasiel / Grasp Dataset GenerationTools for generating a dataset of robotic grasps in Graspit.
Warishayat / SmartSummarizer LLMsThis project features SmartSummarizer, an AI-powered tool that automatically generates concise summaries from long texts. Using advanced NLP techniques, it extracts key information to provide accurate and readable summaries. Ideal for improving productivity, SmartSummarizer helps users quickly grasp the essence of lengthy documents and articles.
