3 accepted papers
Deep reinforcement learning (RL) is being actively studied for robot navigation due to its promise of superior performance and robustness. However, most existing deep RL navigation agents are trained using fixed parameters, such as maximum velocities and weightings of reward components. Since the op…
This paper describes development of a controllerfor bilateral robotic system for tele-echography with delayed communications. The system comprises two identical 6DOF robotic devices based on Stewart-Gough mechanisms, which were developed especially for the sake of the considered application. Control…
The authors have investigated a construction methodology for a non-invasive ultrasound theragnostic system, called NIUTS, to track and follow moving body targets, such as tumors / stones located in moving organs (kidneys, livers, etc.), robustly and precisely, so as to compensate for nearly 90 perce…