Project Jenkins: Turning Monkey Neural Data into Robotic Arm Movement, and Back
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866909543042121728 |
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| author | Zahorodnii, Andrii Yanovsky, Dima |
| author_facet | Zahorodnii, Andrii Yanovsky, Dima |
| contents | Project Jenkins explores how neural activity in the brain can be decoded into robotic movement and, conversely, how movement patterns can be used to generate synthetic neural data. Using real neural data recorded from motor and premotor cortex areas of a macaque monkey named Jenkins, we develop models for decoding (converting brain signals into robotic arm movements) and encoding (simulating brain activity corresponding to a given movement). For the interface between the brain simulation and the physical world, we utilized Koch v1.1 leader and follower robotic arms. We developed an interactive web console that allows users to generate synthetic brain data from joystick movements in real time. Our results are a step towards brain-controlled robotics, prosthetics, and enhancing normal motor function. By accurately modeling brain activity, we take a step toward flexible brain-computer interfaces that generalize beyond predefined movements. To support the research community, we provide open source tools for both synthetic data generation and neural decoding, fostering reproducibility and accelerating progress. The project is available at https://www.808robots.com/projects/jenkins |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_14847 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Project Jenkins: Turning Monkey Neural Data into Robotic Arm Movement, and Back Zahorodnii, Andrii Yanovsky, Dima Robotics Artificial Intelligence Signal Processing Neurons and Cognition Project Jenkins explores how neural activity in the brain can be decoded into robotic movement and, conversely, how movement patterns can be used to generate synthetic neural data. Using real neural data recorded from motor and premotor cortex areas of a macaque monkey named Jenkins, we develop models for decoding (converting brain signals into robotic arm movements) and encoding (simulating brain activity corresponding to a given movement). For the interface between the brain simulation and the physical world, we utilized Koch v1.1 leader and follower robotic arms. We developed an interactive web console that allows users to generate synthetic brain data from joystick movements in real time. Our results are a step towards brain-controlled robotics, prosthetics, and enhancing normal motor function. By accurately modeling brain activity, we take a step toward flexible brain-computer interfaces that generalize beyond predefined movements. To support the research community, we provide open source tools for both synthetic data generation and neural decoding, fostering reproducibility and accelerating progress. The project is available at https://www.808robots.com/projects/jenkins |
| title | Project Jenkins: Turning Monkey Neural Data into Robotic Arm Movement, and Back |
| topic | Robotics Artificial Intelligence Signal Processing Neurons and Cognition |
| url | https://arxiv.org/abs/2503.14847 |