Stefan et al., 2024 - Google Patents
Utilizing Cloud Solutions for Object Recognition in the Context of Industrial Robotics Sorting TasksStefan et al., 2024
- Document ID
- 6703609071206218090
- Author
- Stefan I
- Mateescu A
- Vlasceanu I
- Popescu D
- Sacala I
- Publication year
- Publication venue
- 2024 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)
External Links
Snippet
The rapid advancements in sectors such as Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), networking and cloud computing are opening the opportunity for integrating these techniques with robots from the manufacturing field, with the promising …
- 238000000034 method 0 abstract description 13
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/40—Robotics, robotics mapping to robotics vision
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US12131529B2 (en) | Virtual teach and repeat mobile manipulation system | |
EP3414710B1 (en) | Deep machine learning methods and apparatus for robotic grasping | |
Mahler et al. | Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics | |
EP3405910B1 (en) | Deep machine learning methods and apparatus for robotic grasping | |
US11717959B2 (en) | Machine learning methods and apparatus for semantic robotic grasping | |
US11170220B2 (en) | Delegation of object and pose detection | |
US9878447B2 (en) | Automated collection and labeling of object data | |
Sayour et al. | Autonomous robotic manipulation: real‐time, deep‐learning approach for grasping of unknown objects | |
JP6439817B2 (en) | Adapting object handover from robot to human based on cognitive affordance | |
US20210149411A1 (en) | Method, apparatus and storage medium for detecting small obstacles | |
RU2700246C1 (en) | Method and system for capturing an object using a robot device | |
EP3494513B1 (en) | Selectively downloading targeted object recognition modules | |
JP7468675B2 (en) | Machine learning models | |
US10864633B2 (en) | Automated personalized feedback for interactive learning applications | |
JP2024001106A (en) | Systems, apparatus, and methods for robotic learning and execution of skills | |
Qureshi et al. | Five traits of performance enhancement using cloud robotics: A survey | |
Peng et al. | A pushing-grasping collaborative method based on deep Q-network algorithm in dual viewpoints | |
Xue et al. | Gesture-and vision-based automatic grasping and flexible placement in teleoperation | |
Stefan et al. | Utilizing Cloud Solutions for Object Recognition in the Context of Industrial Robotics Sorting Tasks | |
Rakhmetova et al. | Study of computer vision for manipulators | |
US20220288782A1 (en) | Controlling multiple simulated robots with a single robot controller | |
Liu et al. | Real-time object recognition based on NAO humanoid robot | |
Sajjadi | Predictive Visual Servoing; Uncertainty Analysis and Probabilistic Robust Frameworks | |
Rodríguez Torres | Estimation of 3D object pose for packing problem with a deep learning approach |