Browsing: Robotics
In this paper, researchers have introduced a NeRF-based mapping method called H2-Mapping, aimed at addressing the need for high-quality, dense maps in real-time applications, such as…
In a world where autonomous systems are becoming increasingly prevalent, ensuring their safety and performance is paramount. Autonomous aircraft, in particular, have the potential to revolutionize…
Capturing and encoding information about a visual scene, typically in the context of computer vision, artificial intelligence, or graphics, is called Scene representation. It involves creating…
Robotic manipulation is advancing towards the goal of enabling robots to swiftly acquire new skills through one-shot imitation learning and foundational models. While the field has…
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…
Researchers from Seoul National University address a fundamental challenge in robotics – the efficient and adaptable control of robots in dynamic environments. Traditional robotics control methods…
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 most demanding…
In the real world, information is often conveyed through a combination of text images or videos. To understand and interact with this information effectively, AI systems…
The capacity to choose continuous values, such as grasps and object placements, that satisfy complicated geometric and physical constraints, like stability and lack of collision, is…
Large Language Models (LLMs) are known for their human-like capabilities to generate content, answer questions, and that too with linguistic accuracy and consistency. These models use…