Verses Technologies unveils details on development of robotics model

VERSES AI unveiled details on the development of its robotics model. The VERSES robotics architecture accomplished typical household tasks of tidying the room, preparing the groceries, and setting the table, better than other robotics models and VERSES accomplished the tasks without any pre-training. A video of the robot performing these tasks can be seen on the VERSES website https://www.verses.ai/blog. Robots often perform well on scripted tasks but can freeze when faced with new situations; even something as simple as a box in the wrong place can halt progress. Newer approaches can be more flexible but require huge amounts of training to be effective. This makes existing robotics solutions difficult to use in real-world applications where new situations constantly arise. Challenges like this are well suited to VERSES models’ abilities for quickly adapting to their environment. In a published paper entitled, “Mobile Manipulation with Active Inference for Long-Horizon Rearrangement Tasks” written by members of the Company’s research lab, the VERSES robotics model is compared to a deep learning alternative in three tasks: tidying a room, preparing groceries, and setting a table. The VERSES robotics model achieved a success rate of 66.5% across these tasks while the previous best alternative had a success rate of 54.7%. The VERSES robotics model also requires no training, whereas the other robotics model required 1.3 Billion steps to pre-train several skills across the three tasks.