Why engineers look to incorporate adaptive and self-tuning approaches into system design. What is reinforcement learning and how does it work? Some approaches for successfully integrating RL into ...

From industrial floors to humanoid helpers, advanced path planning in ROS2 is redefining how robots move safely and efficiently. Algorithms like Regulated Pure Pursuit and DAPF-RRT combine speed ...

Ballbots are versatile robotic systems with the ability to move around in all directions. This makes it tricky to control their movement. In a recent study, a team has proposed a novel proportional ...

The automotive industry continues to be a hotbed of innovation, with activity driven by demand for intelligent and connected cars that are safer and offer enhanced driving experience, as well as the ...

Control systems shape the performance of technologies from autonomous vehicles to power plants. With MATLAB and Simulink, you can virtually model, design, and optimize controllers before deploying ...

The study merges two strands of research on the vulnerabilities of modern cars with advanced driving assistance systems. One focuses on the nerve center of electronic communication in most cars, a hub ...

Industrial process control has traditionally relied on fixed-parameter controllers such as proportional integral derivative (PID) and model-based approaches like model predictive control (MPC). While ...