Model learning for robot control: a survey
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Summary
This paper surveys the progress in model learning with a strong focus on robot control on a kinematic as well as dynamical level and deduces future directions of real-time learning algorithms.
- Type
- article
- Published
- 2011-04-13
- Cited by
- 557
- References
- 183
- OpenAlex
- https://openalex.org/W935774826
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8660085
Keywords
Artificial intelligence, Robotics, Computer science, Robot
References
- An overview of reservoir computing: theory, applications and implementations
- Prediction learning in robotic manipulation
- Bayesian Gaussian Process Latent Variable Model
- Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
- Nonparametric and Semiparametric Models
- Differential dynamic programming
- A unifying framework for robot control with redundant DOFs
- Semi-Supervised Learning
- Applied Nonlinear Control
- A controller to overcome dead time
- Robot dynamics and control
- Large-scale kernel machines
- Attractor-based computation with reservoirs for online learning of inverse kinematics
- Evaluation of Gaussian processes and other methods for non-linear regression
- Learning-based model predictive control for Markov decision processes
- Predictive control : with constraints
- A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics
- A Unifying View of Sparse Approximate Gaussian Process Regression
- Locally Weighted Learning for Control
- Local polynomial modelling and its applications
Cited by
- Value and reward based learning in neurorobots
- Learning Multidimensional Joint Control of a Robot using Receding Horizon Locally Weighted Regression
- Learning Integrated Relational and Continuous Action Models for Continuous Domains
- Where do goals come from? A Generic Approach to Autonomous Goal-System Development
- Internal Models as Echo State Networks: Learning to Execute Arm Movements
- Neural Network and Jacobian Method for Solving the Inverse Statics of a Cable-Driven Soft Arm With Nonconstant Curvature
- A friction-model-based framework for Reinforcement Learning of robotic tasks in non-rigid environments
- On the EMG-based torque estimation for humans coupled with a force-controlled elbow exoskeleton
- Efficient Exploratory Learning of Inverse Kinematics on a Bionic Elephant Trunk
- Learning‐based Nonlinear Model Predictive Control to Improve Vision‐based Mobile Robot Path Tracking
- Learning inverse dynamics models with contacts
- Conservative to confident: Treating uncertainty robustly within Learning-Based Control
- Neuroadaptive control for safe robots in human environments: A case study
- Adaptive saccade controller inspired by the primates' cerebellum
- Conservative decision-making and interference in uncertain dynamical systems
- Self-tuning PID controller using quantum neural network with qubit-inspired neurons
- Active Learning for Autonomous Intelligent Agents: Exploration, Curiosity, and Interaction
- Latent Goal Analysis for Dimension Reduction in Reinforcement Learning
- A recursive robust filtering approach for 3D registration
- I Have a Robot, and I'm Not Afraid to Use It!
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