Remove research-areas robotics
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Niches where AI faces limitations

Dataconomy

AI has made tremendous progress; still, there are some areas where AI’s ability is insufficient. Insight into these limitations is crucial for understanding the current state of this technology and its effective implementation in different areas.

AI 103
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Toyota Research Institute SVP on the difficulty of building the perfect home robot

Flipboard

Earlier this week, the Toyota Research Institute opened the doors of its Bay Area offices to members of the media for the first time. Robotics, a longtime … It was a day full of demos, ranging from driving simulators and drifting instructors to conversations around machine learning and sustainability.

professionals

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Navigating to Objects in the Real World

ML @ CMU

Empirical study: We evaluated three approaches for robots to navigate to objects in six visually diverse homes. TLDR : Semantic navigation is necessary to deploy mobile robots in uncontrolled environments like our homes, schools, and hospitals. How well do different classes of methods work on a robot?

Analytics 222
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Top data science conferences you must attend in 2023

Data Science Dojo

AAAI Conference on Artificial Intelligence – Washington DC, United States The AAAI Conference on Artificial Intelligence (AAAI) is a leading conference in the field of artificial intelligence research. The conference is not limited to these specific topics and welcomes research from other related fields as well.

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Google Research, 2022 & beyond: Robotics

Google Research AI blog

Posted by Kendra Byrne, Senior Product Manager, and Jie Tan, Staff Research Scientist, Robotics at Google (This is Part 6 in our series of posts covering different topical areas of research at Google. When applied to robotics, LLMs let people task robots more easily — just by asking — with natural language.

Algorithm 139
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Machine Learning in a non-Euclidean Space

Towards AI

Photo by Greg Rosenke on Unsplash This post was co-authored with Aniss Medbouhi and is based on his research under Prof. Danica Kragic’s supervision, at the KTH lab in the Robotics Perception and Learning Division. What can you tell us about the current advances in this area? From research to projects and ideas.

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A Vision for the Future: How Computer Vision is Transforming Robotics

Heartbeat

The goal of computer vision research is to teach computers to recognize objects and scenes in their surroundings. As robots need to be able to pick up on their surroundings and adapt accordingly, this is a crucial skill for the field. Computer vision enables a more human-like and natural connection between people and robots.