The main use is for training robots that will have to manage in an environment where it is difficult to plan all the things that will happen in it. With the rise of generative technology, the holodeck is expected to become an integral part of the artificial intelligence ecosystem and change the way we live, work and learn in the digital age.
In an effort to train robots to perform real-world tasks, researchers at the University of Pennsylvania have developed the Holodeck, an artificial intelligence system designed to create detailed and customized 3D environments based on user demand, inspired by the Star Trek holodeck technology. The system uses large language models to interpret requests from users and create a wide variety of virtual scenarios, allowing robots to gain experience in navigating new spaces in a better way.
The "holodeck" is an advanced system developed in collaboration between University of Pennsylvania researchers and AI2, and is capable of creating diverse virtual environments for training artificial intelligence agents. In the series "Star Trek: The Next Generation", the holodeck was used by the crew of the USS Enterprise to create XNUMXD environments for the purposes of preparation for operations and entertainment. This technology enables the imaging of different environments, from dense forests to the London of Sherlock Holmes.
Currently, interactive virtual environments are used to train robots in a process known as "Sim2Real". However, there is the problem of an unexpected shortage of virtual environments required for robot training. The process of creating these environments is manual and time-consuming, with each artist potentially devoting an entire week to creating one environment.Lhttps://youtu.be/LWYGVjr9lIA
Challenges in creating virtual training environments
The lack of virtual environments poses a significant challenge to training robots to navigate the real world, which is full of complexities. Neural networks, which form the basis of the current artificial intelligence revolution, require huge amounts of data, and in this case – simulations of the physical world. Generative AI systems like ChatGPT and image generators like Midjourney and DALL·E are trained on billions of images, but there is only a fraction of the 3D environments required to train physical AI.
The "holodeck" was developed in collaboration between Callison-Burch, Yetskar, Yang and Lingji Liu of the University of Pennsylvania, in collaboration with Stanford University, the University of Washington and the Allen Institute for Artificial Intelligence (AI2). The system is able to produce internal environments with the help of artificial intelligence that interprets the users' requests, using everyday language. Users can direct the system to generate an almost unlimited variety of XNUMXD spaces for real-world robot training.
Applying and testing the holodeck in the real world
To assess the level of realism and accuracy of the holodeck, the researchers created 120 scenes using the system and ProcTHOR, a previous tool developed by AI2, and asked hundreds of engineering students at the University of Pennsylvania to vote for their favorite version. The results showed that the students rated the environments created in the holodeck according to the preferred measure.
The researchers also tested the holodeck's ability to create less typical scenes in robotics research, such as stores, public spaces, and offices. Comparing the holodeck outputs with the ProcTHOR outputs, it was found that the human judges preferred the holodeck-generated scenes.
The future implications for robot research and training
The holodeck provides a solution to the problems that exist in working with training environments, and offers a wide potential for advancing various fields of research. The system allows artificial intelligence agents to be ready to deal with complex and varied scenarios in the real environment.
Additional potential applications
In addition to training robots, the holodeck technology may find many applications in fields such as education, medicine and design. For example, teachers can create interactive learning environments, doctors can simulate medical environments for students, and designers can visualize design ideas interactively.
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