New research helps robots combine language and gestures to find objects in cluttered spaces, improving how they understand human intent.
POMDP, an AI framework inspired by dogs that allows robots to use human gestures and language to find objects with 89% accuracy.
Whether in the kitchen or on a workshop floor, robot assistants that can fetch items for people could be extremely useful.
Interesting Engineering on MSN
Smart robot uses 3D vision to locate lost objects in homes 30% more efficiently
A search robot developed by researchers in Germany can reportedly track missing objects in ...
Tech Xplore on MSN
AI search robot uses 3D maps and internet knowledge to find lost items
A robot that can locate lost items on command, the latest development at the Technical University of Munich (TUM), combines knowledge from the internet with a spatial map of its surroundings to ...
The group with the robot tutor made fewer errors and spoke more fluently than the group with human tutors, indicating the effectiveness of robot-assisted learning. Advancements in large language ...
Robots are on the rise. The International Federation of Robots reports there were 3.9 million robots in operation in 2022 or about 151 robots per 10,000 workers. In 2023, that number increased by ...
Large language models like ChatGPT display conversational skills, but the problem is they don’t really understand the words they use. They are primarily systems that interact with data obtained from ...
Visual grounding and language comprehension in robotics represent a rapidly evolving interdisciplinary field that integrates computer vision, natural language processing and robotic control systems.
As generative AI tools like ChatGPT capture global attention, a new frontier is emerging—physical AI, or artificial intelligence that can interact with the real world. While large language models are ...
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