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Nov 29, 2023 · This paper presents a novel approach to learning free terminal time closed-loop control for robotic manipulation tasks, enabling dynamic ...
This paper presents a novel approach to learning free terminal timeclosed-loop control for robotic manipulation tasks, enabling dynamic adjustmentof task ...
Nov 29, 2023 · Abstract. This paper presents a novel approach to learning free terminal time closed-loop control for robotic manipulation tasks, enabling ...
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Apr 30, 2024 · This paper studies time-optimal control questions for a certain class of nonlinear systems. This class includes a large number of mechanical ...
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Learning Free Terminal Time Optimal Closed-loop Control of Manipulators. 本文 ... This paper presents a novel approach to learning free terminal time closed-loop ...
Experimental results demonstrate that the proposed method is an effective solution for time-optimal trajectory planning with joint jerk limits, and can be ...
Learning Free Terminal Time Optimal Closed-loop Control of Manipulators. Wei ... This paper presents a novel approach to learning free terminal time closed-loop ...
A novel adaptive prescribed performance control (PPC) is developed that utilizes a variable performance boundary to ensure that the tracking error never crosses ...
Initial value problem enhanced sampling for closed-loop optimal control design with deep neural networks‏ ... Learning Free Terminal Time Optimal Closed-loop ...