smolvla_ball_cup_30k is an open-source robotics policy model designed for ball-cup sorting tasks. It integrates with the LeRobot library and can be used for training and running robotics policies in Python environments. Below are 14 other ai apps with similar functionality to Smolvla Ball Cup 30k, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
smolvla_ball_cup is an open-source robotics policy model for ball-cup sorting tasks, designed for use with the LeRobot framework. It enables robotics researchers and developers to train, fine-tune, and deploy sorting policies in simulation or on real robots.
ball_cup_smolvla_try3_model is an open-source robotics policy model for ball-and-cup manipulation tasks. It is intended for robotics researchers and developers to train, evaluate, and deploy manipulation policies using LeRobot and Python.
smolvla_so101_v5_30k is an open-source robotics policy model for controlling SO101 robots, compatible with the LeRobot library and Python. It is designed for robotics developers and researchers to implement imitation learning and automate robotic tasks. The model is distributed via Hugging Face.
smolvla_p3_redcube_merged is an open-source robotics policy model designed for manipulation and control tasks. It is suitable for robotics researchers and developers seeking to implement or fine-tune policies for robotic arms and similar systems.
ball_cup_act_hil_round1_model is an open-source imitation learning model for robotics, designed for action chunking tasks. It is distributed on Hugging Face and can be used via API or CLI, supporting research and development in robotic control and automation.
smolvla_so101_cube_put_20260710 is an open-source robotics policy model for cube placement tasks, designed for use with the LeRobot framework. It allows researchers and engineers to train, fine-tune, and deploy robotics policies using open weights.
smolvla-circular_obj_30fps is an open-source AI model for robotic manipulation of circular objects at 30 frames per second. It integrates with the LeRobot library and supports local inference, making it ideal for robotics researchers and developers.
SmolVla_pick_the_ball is an open-source robotics policy model designed for pick-and-place tasks. It integrates with the LeRobot framework and can be installed via pip for use in robotics research and automation projects. The model is distributed under the Apache-2.0 license and is suitable for developers and researchers in robotics.
SmolVla_pick_the_ball2 is an open-source robotics policy model designed for pick-the-ball tasks. It integrates with the LeRobot library and can be used for training, inference, and evaluation in robotics workflows. Ideal for robotics developers seeking reproducible, open models for manipulation tasks.
Smolvla DS3 1B1O FV Removeidle Rand40 is a model available on Hugging Face, associated with the robotics domain. The model is referenced in connection with LeRobot, and instructions are provided for using it with this library. The evidence indicates that users can clone the LeRobot repository, install it with a specific option for smolvla, and launch finetuning of the model on a dataset using a provided script. The example given uses a dataset identified as lerobot/svla_so101_pickplace, and allows configuration of batch size, training steps, output directory, job name, device, and integration with wandb for tracking. The model is distributed under the Apache 2.0 license, and is available in the safetensors format. There is also a reference to arxiv: 2506.01844, suggesting a related publication. The evidence does not provide further details about the model's specific capabilities, intended audience beyond robotics and LeRobot users, or additional features. Pricing information is not mentioned, but the Apache 2.0 license indicates it is open source. No claims are made about integrations beyond LeRobot, nor about supported platforms other than those implied by the use of Python scripts and CUDA devices.
smolvla_so101_cube_put_20260710_frozen is an open-source robotics policy model designed for cube manipulation tasks. It is compatible with the LeRobot library and can be used for research, training, and evaluation in robotics environments. The model is distributed via Hugging Face for local use and further experimentation.
smolvla-pouring-0.3-cutted-v2 is an open-source robotics policy model for pouring tasks. It integrates with LeRobot and Python tools, supporting training and evaluation for manipulation research in robotics.
smolvla_DS3_1B1O_FV_removeidle_rand60 is an open-source AI model focused on robotics and policy learning. It supports integration with robotics frameworks and can be fine-tuned for custom tasks, making it ideal for robotics researchers and developers.
smolvla_so101_t2_v3 is an open-source robotics policy model for imitation learning, distributed via Hugging Face. It enables researchers and developers to train, evaluate, and deploy manipulation policies for robotic systems, supporting fine-tuning and integration with robotics frameworks.
