May 12, 2023 · This paper presents a new approach for numerically approximating the viability kernel of robot manipulators. Our approach solves optimal control problems.

This letter presents a new approach for numerically approximating the viability kernel of robot manipulators. Our approach solves optimal control problems to ...

VBOC: Learning the Viability Boundary of a Robot Manipulator Using Optimal Control ... in Discrete-Time Acceleration Control of Robot Manipulators · Erik ...

This letter presents a new approach for numerically approximating the viability kernel of robot manipulators. Our approach solves optimal control problems to ...

May 12, 2023 · This paper presents a new approach for numerically approximating the viability kernel of robot manipulators. Our approach solves optimal control ...

Sep 11, 2023 · This paper presents a new approach for numerically approximating the viability kernel of robot manipulators. Our approach solves optimal control ...

VBOC VBOC Public. Forked from asialarocca/VBOC. Learning the Viability Boundary of a Robot Manipulator using Optimal Control. Python 2 · influx-bridge-cpp ...

"VBOC: Learning the Viability Boundary of a Robot Manipulator using Optimal Control" by Asia La Rocca, Matteo Saveriano and Andrea Del Prete. "Learning ...

... VBOC: Learning the Viability Boundary of a Robot Manipulator Using Optimal Control" in IEEE ROBOTICS AND AUTOMATION LETTERS, v. 8, n. 11 (2023), p. 6971 ...

Abu-Dakka, Geometric Reinforcement Learning For Robotic Manipulation, IEEE Access, 2023. ... Robot Manipulator using Optimal Control, IEEE Robotics and Automation ...