Use Cases | MakinaRocks

Control and optimization
Manufacturing

RL-based Parameter Auto-tuning

Auto-tuning parameters through the use of a data-based simulator and reinforcement learning is a highly effective approach to minimize the discrepancy between software-based motion control solutions' control values and their corresponding actual values.

Control and optimization
Manufacturing

SMT Optimization for PCBs

Reinforcement learning is used to reduce the time required for SMT procedures by making electronic components more efficiently installed on PCBs.

Automobile
Anomaly detection

Robot Arm Anomaly Detection

Using an unsupervised learning algorithm, it detects those anomalies before they occur in the equipment.

Control and optimization
Manufacturing

Multi-robot task ＆ Motion planning

A machine learning algorithm is used to automate the distribution of tasks among multiple robots on an assembly line.

Control and optimization
Automobile

RL-based EMS control

In place of an HVAC simulator, the trained dynamics model is used to predict changes in the HVAC's internal state, and it serves as the basis for development of an efficient air conditioning control model.

Control and optimization
Semiconductor

Chip Placement with RL

Developing chip simulation environments and placement algorithms to train RL models that optimize element placement.

Predictive analysis
Energy

Solar power generation prediction

Time-series analysis based on historical climate data forecasts the power generation of each photovoltaic power plant during 24 hours.

Chemical
Anomaly detection

Polymer Reactor shutdown analysis

Data-based anomaly detection models can help prevent emergency shutdown in petrochemical plants.

Predictive analysis
Battery

EV Li+ Battery RUL Prediction

Battery management system data and EV operation patterns can be analyzed to predict battery life remaining and monitor their lifecycles.

Energy
Anomaly detection

Li+ Battery ESS Anomaly Detection

ESS anomaly detection models are designed to predict and monitor anomalies before a fire occurs and provide safety indicators.

Semiconductor
Anomaly detection

Semicon equipment time-to-failure

AI algorithms learn the pattern of sensor data from semiconductor manufacturing equipment and identify possible anomalies during the manufacturing process.

Enterprise MLOps for seamless ML/DL model operations in complex processes

RL-based Parameter Auto-tuning

SMT Optimization for PCBs

Robot Arm Anomaly Detection

Multi-robot task ＆ Motion planning

RL-based EMS control

Chip Placement with RL

Solar power generation prediction

Polymer Reactor shutdown analysis ​

EV Li+ Battery​ RUL Prediction

Li+ Battery ESS​ Anomaly Detection ​

Semicon equipment time-to-failure

Polymer Reactor shutdown analysis

EV Li+ Battery RUL Prediction

Li+ Battery ESS Anomaly Detection