A Framework for Task-Level Robotics Manipulation (3 min)Khatib, O
www.nature.com/scientificdata OPEN Article A framework for FAIR robotic datasets Corrado Motta 1,2,5, Simona Aracri 1,5 ✉, Roberta Ferretti 1,5, Marco Bibuli1, Gabriele Bruzzone 1, Massimo Caccia1, Angelo Odetti1, Fausto Ferreira ...
A fusion prognostics framework was proposed to combine the data-driven method and the model-based method for system remaining useful life prediction. The proposed method introduces two data-driven methods into the classical model-based particle filter framework. The advantages of the proposed method ar...
Robohive: A unified framework for robot learning Writing simplified and portable RL codebase with TensorDict RL algorithms are very heterogeneous, and it can be hard to recycle a codebase across settings (e.g. from online to offline, from state-based to pixel-based learning). TorchRL solves...
Full project details onaimrt.org。 Brief AimRT is a basic runtime framework for the field of modern robotics. It is developed based on modern C++, is lightweight and easy to deploy, and has more modern designs in resource management and control, asynchronous programming, deployment configuration...
The manner in which quadrupeds change their locomotive patterns—walking, trotting, and galloping—with changing speed is poorly understood. In this paper, we provide evidence for interlimb coordination during gait transitions using a quadruped robot for
The use of machine learning for localization of sound sources from microphone array data has increased rapidly in recent years. Newly developed methods are
Use of this framework provides a systematic approach to considering which patients may be appropriate for exoskeleton utilization and determining which device may be most beneficial based on a patient’s impairments and presentation. Through attempted implementation and reflection, this framework has also ...
Deep Reinforcement Learning (DRL) is increasingly used to train robots to perform complex and delicate tasks, while the development of realistic simulators contributes to the acceleration of research on DRL for robotics. However, it is still not straight
Kinematic model of line following in the presence of a constant external disturbance, MPC framework and parameter tuning, as well as experimental results are given below. Conclusion and future work In this paper, an online side-scan sonar data-driven complete coverage path planning algorithm for ...