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Reinforcement learning with model-based feedforward inputs for robotic table tennis
We rethink the traditional reinforcement learning approach, which is based on optimizing
over feedback policies, and propose a new framework that optimizes over feedforward …
over feedback policies, and propose a new framework that optimizes over feedforward …
[PDF][PDF] A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles.
In this work, we propose a new learning-based iterative control (IC) framework that enables
a complex softrobotic arm to track trajectories accurately. Compared to traditional iterative …
a complex softrobotic arm to track trajectories accurately. Compared to traditional iterative …
Identifying causal structure in dynamical systems
Mathematical models are fundamental building blocks in the design of dynamical control
systems. As control systems are becoming increasingly complex and networked …
systems. As control systems are becoming increasingly complex and networked …
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion
S Guist, J Schneider, H Ma, L Chen, V Berenz… - arxiv preprint arxiv …, 2023 - arxiv.org
Operating robots precisely and at high speeds has been a long-standing goal of robotics
research. Balancing these competing demands is key to enabling the seamless …
research. Balancing these competing demands is key to enabling the seamless …
A robust open-source tendon-driven robot arm for learning control of dynamic motions
Human athletic movements, such as those seen in table tennis or soccer, require a dynamic
interplay of power, agility, and precision. They also involve quick reactions to unpredictable …
interplay of power, agility, and precision. They also involve quick reactions to unpredictable …
Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80
Robotic applications require the integration of various modalities, encompassing perception,
control of real robots and possibly the control of simulated environments. While the state-of …
control of real robots and possibly the control of simulated environments. While the state-of …