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It has been said that information theory and machine learning are "two sides of the same coin" because of their close relationship. One exquisite relationship is the fundamental similarity between probabilistic...
Researchers have introduced a cutting-edge framework called MUTEX, short for "MUltimodal Task specification for robot EXecution," aimed at significantly advancing the capabilities of robots in assisting humans. The primary problem they tackle is the limitation of...
The quest to make robots perform complex physical tasks, such as navigating challenging environments, has been a long-standing challenge in robotics. One of the...
In the real world, information is often conveyed through a combination of text images or videos. To understand and interact with this information effectively,...
The capacity to choose continuous values, such as grasps and object placements, that satisfy complicated geometric and physical constraints, like stability and lack of...
Robotics, the branch which is completely dedicated to the field of Electronics and Computer Science Engineering is now being connected to Artificial Intelligence for...
In a new AI research, a team of MIT and Harvard University researchers has introduced a groundbreaking framework called "Follow Anything" (FAn). The system...
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...
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...
The gauging process in the domains of control and reinforcement learning advance is quite challenging. A particularly underserved area has been robust benchmarks that...
In collaboration with New York University and the University of California at Berkeley, researchers from MIT have devised a groundbreaking framework that empowers humans...
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...
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