act_dryrun is an open-source imitation learning model for robotics, enabling prediction of action chunks from teleoperated data. Below are 11 other ai apps with similar functionality to Act Dryrun, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
act_DS3_1B1O_FV_removeidle_rand20 is an open-source model for robotic action chunking using imitation learning. It enables robotics researchers to implement and evaluate action chunking policies for efficient robot control.
Act DS3 1B1O FV Removeidle Rand80 is a model available on Hugging Face that implements Action Chunking with Transformers (ACT), an imitation learning approach for robotics. Unlike methods that predict single action steps, this model is designed to predict short sequences of actions, referred to as action chunks. According to the provided information, it is trained using teleoperated data and aims to achieve high success rates in its tasks. The model is associated with the LeRobot library and can be used in conjunction with platforms such as Google Colab and Kaggle. It is distributed in the Safetensors format, and users are provided with instructions for using the model with various libraries, inference providers, notebooks, and local applications. The evidence also references an arXiv paper (arxiv: 2304.13705) for further context on the method, though no details from the paper are included in the excerpt. Act DS3 1B1O FV Removeidle Rand80 is released under the Apache 2.0 license, making it available for open-source use. The model is suitable for those interested in robotics and imitation learning, particularly in scenarios where learning from teleoperated demonstrations is required. Further documentation and guides are mentioned as available through the LeRobot documentation and training guide.
act_DS3_1B1O_FV_removeidle_rand40 is an open-source imitation learning model for robotics, focusing on action chunking using transformer architectures. It is designed for robotics researchers and developers working on teleoperated data and policy learning.
act_slow is an open-source robotics model that implements action chunking with transformers for imitation learning. It is designed for robotics researchers and developers who want to train and deploy advanced policies for robotic control tasks.
act_DS1_1B1O_FF_removeidle_rand40 is an open-source imitation learning model designed for robotics applications. It predicts short action chunks from teleoperated data, enabling more efficient and robust policy learning. The model integrates with LeRobot and is suitable for robotics researchers and developers.
act_task1_v2 is an open-source imitation learning policy for robotics, trained to predict action chunks from teleoperated data. It is designed for use with LeRobot and supports local inference and further training by robotics researchers and engineers.
act_slow_v2 is an open source imitation learning model for robotics, implementing action chunking with transformers. It enables researchers and developers to train and deploy robotic control policies using teleoperated data, with open weights and support for local and cloud inference.
kob0105/act_pusht is an open-source imitation-learning model for robotics, designed to predict short action chunks from teleoperated data. It is available on Hugging Face for use in research and development, supporting integration with LeRobot and Colab.
act_DS1_1B1O_FF_removeidle_rand60 is an open-source imitation learning model for robotics, trained to predict action chunks from teleoperated data. It is designed for robotics researchers seeking to implement advanced policy learning and action chunking in robotic systems.
act_dg5f_1.25sqblue_90 is an open-source imitation learning model designed for robotics applications, enabling prediction of short action chunks from teleoperated data. It is compatible with LeRobot and can be used for training, evaluation, and inference in robotics workflows. The model is suitable for robotics researchers and developers seeking advanced action chunking capabilities.
act_DS3_1B1O_FV_removeidle_rand60 is an open-source transformer-based imitation learning model for robotics. It predicts action chunks from teleoperated data, helping researchers and developers build advanced robotic control systems.
