Table 4.
Subfield | AI Category | Key Methods | Application-Case | Ref. |
---|---|---|---|---|
Control (Section 3.2) | Supervised and Unsupervised Learning | SVM, PCA | Object recognition of a smart gripper | [260] |
Reinforcement learning | Trial-and-error search | Weightlifting robot control | [261] | |
Supervised Learning | GD | Understanding the added value of integrated models for through-life engineering services | [262] | |
Computational Intelligence | Vision-based Markovian chain | Automate fan-blade reconditioning for aerospace maintenance, repair and overhaul | [263] | |
QP | Supporting rescuers on disaster-response missions | [264] | ||
Planning (Section 3.3) | Reinforcement Learning | Proximal policy optimization | Pick-and-place tasks for an industrial robotic arm | [265] |
DDPG | Control and trajectory planning of a planar 3-DOF manipulator and 3D arms of a humanoid robot | [266] | ||
DQN | Automate smart manufacturing systems | [267] | ||
Proposed LSTM-MACG | Collision avoidance for a number of UAVs in a confined airspace | [268] | ||
Computational Intelligence | Ant colony optimization | Path planning of industrial robots | [269] | |
HRI/HRC (Section 3.4) | Supervised Learning | CNN | Standing-posture recognition in HRC | [270] |
DL | Mechatronics system | [271] | ||
ANN | Enabling industrial robots to bypass obstacles | [272] | ||
LSTM | Visual question answering for HMC system | [273] | ||
Supervised and Unsupervised Learning | FFT-PCA-SVM | HRI welding and welder behavior analysis (identifying the professional level) | [274] | |
Reinforcement Learning | DDPG | COVID-19, improve efficiency in assembling medical equipment | [275] | |
Predictive Maintenance | Supervised Learning | DNN | System health monitoring | [276] |
Maximizing the overall plant availability of modern manufacturing systems | [277] | |||
Workspace Modeling | Supervised Learning | Monte Carlo method | Simulating the workspace of the mechanisms | [278] |
Others | Supervised Learning | RF | Estimation of lawn grass lengths for robotic lawn mower | [279] |
PCA: Principal Component Analysis; GD: Gradient Descent; QP: Quadratic Programming; MACG: MultiAgent Computational Guidance; FFT: Fast Fourier Transform; UAV: Unmanned Aerial Vehicle.