Recently, Boston Dynamics' robot dog Spot received a significant software update that greatly enhances its ability to navigate complex environments. Although Spot can 'see' the world around it through a 3D vision system, it previously struggled to comprehend obstacles in its surroundings. To address this, the development team introduced a foundation model of artificial intelligence, enabling Spot to recognize and avoid various hazards. With this update, Spot can effectively identify wires, ladders, and rolling objects.

Recently, there has been a craze for 'dog-keeping' on Douyin and Xiaohongshu, but these 'dogs' are not traditional pets; they are an enticing robot dog. Many families are sharing videos of walking their 'dogs' on social platforms, as if showcasing their 'new favorite.' What does this phenomenon actually signify? In the year 2024, known as the 'year of embodied intelligence,' humanoid robots are finally beginning to showcase their 'intelligence' thanks to continuous technological advancements. When mentioning humanoid robots, we cannot help but refer to some star products, such as F.

Boston Dynamics has developed a talking and tour guide robot dog by combining ChatGPT with a physical robot. The robot dog demonstrates self-decision-making abilities, responds to inquiries, and actively interacts with people. This innovation opens up new avenues for the practical application of large language models. Boston Dynamics plans to continue optimizing this product and expanding its applications. This technology has sparked a novel phenomenon in the field of AI for robot dogs.

Google DeepMind's SayTap language model can convert human commands into a format understandable by robot dogs. SayTap can handle complex and ambiguous instructions, enabling robot dogs to respond appropriately. It transforms natural language into a machine-readable format, paving the way for robots to obey human language commands in the future.