Grounded Robotics
The discussion highlights how robots, unlike language models, are grounded in their real-world environments, which significantly reduces the likelihood of hallucinations. By perceiving and interacting with their surroundings, robots receive constant feedback that helps them understand reality, creating a robust representation for planning actions. This approach contrasts with traditional language models that rely on abstracted knowledge from text, emphasizing the advantages of direct environmental engagement in robotic systems.In this clip
From this podcast
Eye on AI
How Is AI Helping Advance Robotics? | Vincent Vanhoucke
Related Questions
Is this large language model (LLM) subject to hallucinations?
Is the large language model (LLM) in the episode "Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - 672" and the clip "Instruction Tuning Insights" subject to hallucinations?
Is the large language model (LLM) in the episode Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - 672 and the clip Instruction Tuning Insights subject to hallucinations?