Sim2Real Grasp Pose Estimation for Adaptive Robotic Applications

Author:

Horváth Dániel,Bocsi Kristóf,Erdős Gábor,Istenes Zoltán

Publisher

Elsevier BV

Subject

General Medicine

Reference15 articles.

1. Bochkovskiy, A., Wang, C.Y., and Liao, H.Y.M. (2020). YOLOv4: Optimal Speed and Accuracy of Object Detection. URL https://arxiv.org/abs/2004.10934.

2. The YCB Object and Model Set: Towards Common Benchmarks for Manipulation Research;Calli,2015

3. MoveIt! Task Constructor for Task-Level Motion Planning;Görner,2019

4. Object Detection Using Sim2Real Domain Randomization for Robotic Applications;Horváth;IEEE Transactions on Robotics,2022

5. A Survey on Learning-Based Robotic Grasping;Kleeberger;Current Robotics Reports,2020

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Grasp-Anything: Large-scale Grasp Dataset from Foundation Models;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. 6-DoF Grasp Pose Evaluation and Optimization via Transfer Learning from NeRFs;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning Agents;IEEE Access;2024

4. Sim2Plan: Robot Motion Planning via Message Passing Between Simulation and Reality;Lecture Notes in Networks and Systems;2023

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