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Neural networks in robotics: A survey

https://doi.org/10.1007/bf00368972
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00339943openalex-snapshot
“Neural” computation of decisions in optimization problems
inferredcites →https://doi.org/10.1007/bf00363956openalex-snapshot
On the stability of the Travelling Salesman Problem algorithm of Hopfield and Tank
inferredcites →https://doi.org/10.1016/0025-5564(79)90063-4openalex-snapshot
Mechanisms of planning and problem solving in the brain
inferredcites →https://doi.org/10.1016/0893-6080(88)90030-5openalex-snapshot
Feedback-error-learning neural network for trajectory control of a robotic manipulator
inferredcites →https://doi.org/10.1016/b978-0-12-491850-4.50009-xopenalex-snapshot
Competition and Cooperation in Neural Nets
inferredcites →https://doi.org/10.1037/0033-295x.95.1.49openalex-snapshot
Neural dynamics of planned arm movements: Emergent invariants and speed-accuracy properties during trajectory formation.
inferredcites →https://doi.org/10.1109/37.1867openalex-snapshot
Hierarchical neural network model for voluntary movement with application to robotics
inferredcites →https://doi.org/10.1109/37.1868openalex-snapshot
A multilayered neural network controller
inferredcites →https://doi.org/10.1109/37.1869openalex-snapshot
Neural network architecture for control
inferredcites →https://doi.org/10.1109/cdc.1977.271638openalex-snapshot
Analytical equations vs. table look-up for manipulation: A unifying concept
inferredcites →https://doi.org/10.1109/icnn.1988.23973openalex-snapshot
Building a generic architecture for robot hand control
inferredcites →https://doi.org/10.1109/icnn.1988.23974openalex-snapshot
Neural computation for controlling the configuration of 2-dimensional truss structure
inferredcites →https://doi.org/10.1109/icnn.1988.23975openalex-snapshot
A learning architecture for control based on back-propagation neural networks
inferredcites →https://doi.org/10.1109/icnn.1988.23976openalex-snapshot
A neuromorphic controller with a human teacher
inferredcites →https://doi.org/10.1109/icnn.1988.23979openalex-snapshot
Solution to the inverse kinematics problem in robotics by neural networks
inferredcites →https://doi.org/10.1109/icnn.1988.23981openalex-snapshot
Intelligent control of the Intelledex 605T robot manipulator
inferredcites →https://doi.org/10.1109/icnn.1988.23982openalex-snapshot
An adaptive 'broom balancer' with visual inputs
inferredcites →https://doi.org/10.1109/massp.1987.1165576openalex-snapshot
An introduction to computing with neural nets
inferredcites →https://doi.org/10.1109/robot.1988.12037openalex-snapshot
Neutral networks for tactile perception
inferredcites →https://doi.org/10.1109/robot.1988.12038openalex-snapshot
Generalized neural model for adaptive sensory-motor control of single postures
inferredcites →https://doi.org/10.1109/robot.1988.12039openalex-snapshot
Neuromorphic architectures for fast adaptive robot control
inferredcites →https://doi.org/10.1109/tac.1966.1098320openalex-snapshot
A trainable nonlinear function generator
inferredcites →https://doi.org/10.1109/tmms.1969.299896openalex-snapshot
Resolved Motion Rate Control of Manipulators and Human Prostheses
inferredcites →https://doi.org/10.1109/tsmc.1983.6313077openalex-snapshot
Neuronlike adaptive elements that can solve difficult learning control problems
inferredcites →https://doi.org/10.1115/1.3139652openalex-snapshot
Hybrid Position/Force Control of Manipulators
inferredcites →https://doi.org/10.1115/1.3140702openalex-snapshot
Impedance Control: An Approach to Manipulation: Part I—Theory
inferredcites →https://doi.org/10.1115/1.3426922openalex-snapshot
A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
inferredcites →https://doi.org/10.1115/1.3426923openalex-snapshot
Data Storage in the Cerebellar Model Articulation Controller (CMAC)
inferredcites →https://doi.org/10.1115/1.3427095openalex-snapshot
Force Feedback Control of Manipulator Fine Motions
inferredcites →https://doi.org/10.1117/12.942749openalex-snapshot
Teaching Artificial Neural Systems To Drive: Manual Training Techniques For Autonomous Systems
inferredcites →https://doi.org/10.1117/12.942801openalex-snapshot
Artificial Neural-Net Based Intelligent Robotics Control
inferredcites →https://doi.org/10.1177/027836498700600207openalex-snapshot
Application of a General Learning Algorithm to the Control of Robotic Manipulators
inferredcites →https://doi.org/10.1201/9781351069397-65openalex-snapshot
A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller
inferredcites →https://doi.org/10.2307/2312103openalex-snapshot
Principles of Neurodynamics.
inferredcites →https://doi.org/10.23919/acc.1984.4788393openalex-snapshot
Impedance Control: An Approach to Manipulation
inferredcites →https://doi.org/10.23919/acc.1988.4790106openalex-snapshot
A Neural Network for Planning Hand Shapes in Human Prehension
inferredcites →https://doi.org/10.23919/acc.1988.4790107openalex-snapshot
Learning to Control an Inverted Pendulum with Connectionist Networks
inferredcites →https://doi.org/10.23919/acc.1988.4790108openalex-snapshot
Adaptive Load Balancing Between Mobile Robots Through Learning in an Artificial Neural System
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/1097-4563(200012)17:12<659::aid-rob2>3.0.co;2-nopenalex-snapshot
Asymptotically stable visual servoing of manipulators via neural networks
inferred← citeshttps://doi.org/10.1002/oca.4660140102openalex-snapshot
Feedback control of minimum‐time optimal control problems using neural networks
inferred← citeshttps://doi.org/10.1007/978-1-4471-3089-5_1openalex-snapshot
Introduction to Learning Systems
inferred← citeshttps://doi.org/10.1007/978-1-4471-3089-5_6openalex-snapshot
Multilayer Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-09858-6_36openalex-snapshot
Identification of a Cylindrical Robot Using Recurrent Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-322-91114-8_8openalex-snapshot
... in der Robotereinsatzplanung
inferred← citeshttps://doi.org/10.1007/978-3-642-27951-5_26openalex-snapshot
SCARA Robot Control System Design and Trajectory Planning: A Case Study
inferred← citeshttps://doi.org/10.1007/978-94-011-0713-6_2openalex-snapshot
Intelligent systems architecture: Design techniques
inferred← citeshttps://doi.org/10.1007/978-981-16-7657-4_64openalex-snapshot
Algorithms: Supervised Machine Learning Types and Their Application Domains
inferred← citeshttps://doi.org/10.1007/bf00437601openalex-snapshot
Artificial neural network based robot control: An overview
inferred← citeshttps://doi.org/10.1007/bf00872473openalex-snapshot
A self-organized model for the control, planning and learning of nonlinear multi-dimensional systems using a sensory feedback
inferred← citeshttps://doi.org/10.1007/bf01254848openalex-snapshot
A neural network compensator for uncertainties in robotic assembly
inferred← citeshttps://doi.org/10.1007/bf01276703openalex-snapshot
Connectionist approaches to the control of manipulation robots at the executive hierarchical level: An overview
inferred← citeshttps://doi.org/10.1007/bf01664754openalex-snapshot
Collision: Modeling, simulation and identification of robotic manipulators interacting with environments
inferred← citeshttps://doi.org/10.1007/s11431-024-2810-2openalex-snapshot
Condition monitoring and fault diagnosis of industrial robots: A review
inferred← citeshttps://doi.org/10.1016/0893-6080(93)90019-sopenalex-snapshot
Centralized and decentralized neuro-adaptive robot controllers
inferred← citeshttps://doi.org/10.1016/0895-7177(95)00101-7openalex-snapshot
Neurocontrol of an aircraft: Application to windshear
inferred← citeshttps://doi.org/10.1016/0954-1810(95)00016-xopenalex-snapshot
A high school project on artificial intelligence in robotics
inferred← citeshttps://doi.org/10.1016/j.cirp.2017.04.104openalex-snapshot
A framework for the automated design and modelling of soft robotic systems
inferred← citeshttps://doi.org/10.1016/j.rcim.2010.10.010openalex-snapshot
Learning from demonstration in robots: Experimental comparison of neural architectures
inferred← citeshttps://doi.org/10.1016/s0166-3615(96)00078-4openalex-snapshot
A robotic die polishing system through fuzzy neural networks
inferred← citeshttps://doi.org/10.1016/s0895-7177(97)00266-5openalex-snapshot
Neurocontrol of nonlinear systems via local memory neurons
inferred← citeshttps://doi.org/10.1016/s1474-6670(17)39583-6openalex-snapshot
Visual Servoing of Fixed Camera Robotic Systems via Neural Networks
inferred← citeshttps://doi.org/10.1016/s1474-6670(17)50890-3openalex-snapshot
Iterative Learning Control of Flexible-Joint Robots using Neural Networks
inferred← citeshttps://doi.org/10.1017/s0263574700018890openalex-snapshot
A study of neural network control of robot manipulators
inferred← citeshttps://doi.org/10.1017/s0263574799002064openalex-snapshot
Neural network inverse control techniques for PD controlled robot manipulator
inferred← citeshttps://doi.org/10.1023/a:1008022430399openalex-snapshot
Velocity Estimation for Robot Manipulators Using Neural Network
inferred← citeshttps://doi.org/10.1023/a:1008213504051openalex-snapshot
The Application of Connectionist Structures to Learning Impedance Control in Robotic Contact Tasks
inferred← citeshttps://doi.org/10.1080/00207549508930175openalex-snapshot
Applications of neural networks in manufacturing: a state-of-the-art survey
inferred← citeshttps://doi.org/10.1109/95.296402openalex-snapshot
Artificial neural networks in manufacturing: concepts, applications, and perspectives
inferred← citeshttps://doi.org/10.1109/cdc.1990.203395openalex-snapshot
A neural network-based controller for a two-link robot
inferred← citeshttps://doi.org/10.1109/cimsa.2005.1522848openalex-snapshot
Sensor fusion and use of reconfigurable neural networks in condition monitoring
inferred← citeshttps://doi.org/10.1109/etfa.1992.683280openalex-snapshot
Inverse Dynamics Neuro-tuning For Robot Control
inferred← citeshttps://doi.org/10.1109/iccima.2007.202openalex-snapshot
Multi Layer Feed Forward Neural Network for Contingency Evaluation of Bulk Power System
inferred← citeshttps://doi.org/10.1109/iccima.2007.35openalex-snapshot
Gabor Wavelet Feature Based Face Recognition Using the Fractional Power Polynomial Kernel Fisher Discriminant Model
inferred← citeshttps://doi.org/10.1109/icma.2005.1626856openalex-snapshot
Malleable neural networks in fault detection of complex systems
inferred← citeshttps://doi.org/10.1109/iicaiet55139.2022.9936755openalex-snapshot
A Review of SCARA Robot Control System
inferred← citeshttps://doi.org/10.1109/ijcnn.1991.170689openalex-snapshot
Improvement of robot control by neural computers
inferred← citeshttps://doi.org/10.1109/ijcnn.2006.1716570openalex-snapshot
Health Monitoring of Complex Systems using Parallel Neural Networks
inferred← citeshttps://doi.org/10.1109/isie.1995.496471openalex-snapshot
Neural networks in robotics: state of the art
inferred← citeshttps://doi.org/10.1109/robio.2017.8324448openalex-snapshot
FEM-based training of artificial neural networks for modular soft robots
inferred← citeshttps://doi.org/10.1109/robot.1992.219951openalex-snapshot
Direct neuro-adaptive control of robot manipulators
inferred← citeshttps://doi.org/10.1109/sbr-lars.2012.57openalex-snapshot
Fixed-Point Neural Network Ensembles for Visual Navigation
inferred← citeshttps://doi.org/10.1109/sicici.1992.637733openalex-snapshot
Application Of CMAC Neural Network To The On-line State Estimation Of CSTR System
inferred← citeshttps://doi.org/10.1109/smcia.2005.1466963openalex-snapshot
Reconfigurable multi-stage neural networks in monitoring industrial machines
inferred← citeshttps://doi.org/10.1109/tim.2007.909411openalex-snapshot
Modular Neural Network Architecture for Precise Condition Monitoring
inferred← citeshttps://doi.org/10.1155/2018/8094292openalex-snapshot
H∞ Synchronization of Semi‐Markovian Jump Neural Networks with Randomly Occurring Time‐Varying Delays
inferred← citeshttps://doi.org/10.11606/t.55.2017.tde-13012017-164142openalex-snapshot
Sistema de hardware reconfigurável para navegação visual de veículos autônomos
inferred← citeshttps://doi.org/10.1243/0959651991540106openalex-snapshot
Diagnostics of a coolant system via neural networks
inferred← citeshttps://doi.org/10.4018/ijfsa.2017040104openalex-snapshot
A Comparative Study for Position Regulation and Anti-Swing Control of Highly Non-Linear Double Inverted Pendulum (DIP) System Using Different Soft Com
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amm.162.121openalex-snapshot
Workspace Generation for a 2 - DOF Parallel Mechanism Using Neural Networks
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