Browsing: Robotics
Autonomous robotic systems capable of assembling new objects through visuospatial reasoning hold great potential for a broad range of real-world applications. Despite remarkable advancements in part…
In collaboration with New York University and the University of California at Berkeley, researchers from MIT have devised a groundbreaking framework that empowers humans to effectively…
The gauging process in the domains of control and reinforcement learning advance is quite challenging. A particularly underserved area has been robust benchmarks that focus on…
Large language models can enable fluent text generation, emergent problem-solving, and creative generation of prose and code. In contrast, vision-language models enable open-vocabulary visual recognition and…
A significant barrier to progress in robot learning is the dearth of sufficient, large-scale data sets. Data sets in robotics have issues with being (a) hard…
In a new AI research, a team of MIT and Harvard University researchers has introduced a groundbreaking framework called “Follow Anything” (FAn). The system addresses the…
Robotics, the branch which is completely dedicated to the field of Electronics and Computer Science Engineering is now being connected to Artificial Intelligence for several purposes.…
Robots have always been at the center of attention in the tech landscape. They always found a place in sci-fi movies, kid shows, books, dystopian novels,…