Deep Learning Triggers a New Era in Industrial Robotics
Explore this paper's citation graph
- Type
- article
- Published
- 2017-10-01
- Cited by
- 18
- References
- 8
- OpenAlex
- https://openalex.org/W2767518918
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3801346
Keywords
Robotics, Artificial intelligence, Deep learning, Computer science, Robot
References
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Human-level control through deep reinforcement learning
- Mastering the game of Go with deep neural networks and tree search
- Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
- Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
- End-to-End Training of Deep Visuomotor Policies
- End-to-end training of deep visuomotor policies
- Super4PCS: Fast Global Pointcloud Registration via Smart Indexing
Cited by
- Insight into Applications of Deep Learning
- A deep learning driven method for fault classification and degradation assessment in mechanical equipment
- Deep Convolutional AutoEncoders as a Minimal State Representation for Reinforcement Learning in Industrial Robot Manipulators
- Image recognition in UAV videos using convolutional neural networks
- Application of Artificial Intelligence to an Electrical Rewinding Factory Shop
- Automated Maintenance Data Classification Using Recurrent Neural Network: Enhancement by Spotted Hyena-Based Whale Optimization
- A visual path-following learning approach for industrial robots using DRL
- Efficient 2D Detection and Positioning of Complex Objects for Robotic Manipulation Using Fully Convolutional Neural Network
- Deep Learning Application Pros And Cons Over Algorithm
- Deep transfer learning for failure prediction across failure types
- Grasp Point Calculation and Food Waste Detection for Dish-recycling Robot
- An Overview of Deep Learning Methods for Left Ventricle Segmentation
- An Integrated System of Industrial Robotics and Machine Vision for the Automation of the Assembly and Packaging Process of Industrial Hinges
- Deep learning-based interpretable prediction and compensation method for improving pose accuracy of parallel robots
- A novel compensation method for absolute positioning accuracy errors of the end-effector of mobile robot systems considering the flexible deformations of tires and manipulator
- An Overview of Applications of Artificial Intelligence Using Different Techniques, Algorithms, and Tools
- Effective Bin Picking Approach by Combining Deep Learning and Point Cloud Processing Techniques
- Using Convolutional Neural Networks to Recognition of Dolphin Images
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