Novosibirsk resident Mikhail Raduga gained attention last summer after a solo experiment with a head implant. He now reports a fresh breakthrough in lucid dreaming, claiming to pilot a virtual car within his sleep. The claims drew notice from a popular messaging channel that follows dream research and brain-tech news.
A collaborative team from Redwood City, California, consisting of hobbyists and researchers, has developed a system that uses electromyography sensors to detect subtle muscle signals. The device was tested with a small group of lucid dreamers and, according to Rainbow, enabled driving a Tesla Cybertruck inside the dream environment. The entire action was displayed on a computer monitor for observation.
In the reported tests, leg movements in the dream appeared to translate into motion on the screen. When the dreamer moved their hands, the virtual car responded by turning. Obstacle alerts were conveyed by light cues projected through eyelids. The researchers described the control as bidirectional, with response times ranging from a few seconds to several minutes depending on the user and the task.
Rainbow stated to the reporting team that the REMspace startup, which he founded, plans to release a device in 2024 that would allow people to connect to the internet from lucid dreams. The proposal remains without a detailed technical explanation at this stage.
Earlier reports from Chechnya noted significant activity in the development of autonomous digging drones, highlighting rapid progress in automated remote systems.
Experts emphasize that the field sits at the intersection of neuroscience, computer simulation, and immersive media. The emerging approach relies on real-time interpretation of muscle activity to map dream actions to on-screen events. Observers caution that some claims require cautious verification and replication across independent laboratories. Still, the core idea points to a future where dream states could play a more active role in user interfaces and virtual experiences. The possibility of dream-based control challenges traditional notions of how humans interact with machines and suggests new models for human-computer collaboration that blend sleep science with interactive technology. Researchers note that the quality of dream recall, emotional tone, and dream clarity can influence how effectively such systems translate subconscious impulses into digital actions. In practical terms, this line of work aims to create more natural and responsive ways to interact with virtual worlds while the user remains in a dream state. The broader implications touch on learning, creativity, and even potential applications in training simulations that require quick, intuitive physical responses. As the research community advances, the conversation continues about safety, ethical considerations, and the design of user-friendly interfaces that respect the boundaries between waking cognition and dreaming phenomena. Attribution: Rainbow and the REMspace initiative are cited in contemporary dream-tech reporting by independent outlets and researchers who track experiments in this niche field.