This work proposes a framework to design, formulate and implement a path tracker for self-driving cars (SDC) based on nonlinear model-predictive-control (NMPC) approach. The presented methodology is developed to be used ...
In this paper, an advanced-and-reliable road-lanes detection and tracking solution is proposed and implemented. The proposed solution is well suited for use in Advanced Driving Assistance Systems (ADAS) or Self-Driving ...
In this paper, the Deep Deterministic Policy Gradient (DDPG) reinforcement learning algorithm is employed to enable a double-jointed robot arm to reach continuously-changing target locations. The experimentation of the ...
In this paper, the Deep Deterministic Policy Gradient (DDPG) reinforcement learning algorithm is employed to enable
a double-jointed robot arm to reach continuously-changing target locations. The experimentation of the ...