Eye On AI

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Week Ending 5.31.2020

RESEARCH WATCH: 5.31.2020

Over the past week, 91 new papers were published in "Computer Science - Artificial Intelligence".

Over the past week, 199 new papers were published in "Computer Science - Computer Vision and Pattern Recognition".

This week was very active for "Computer Science - Computers and Society", with 48 new papers.

This week was active for "Computer Science - Human-Computer Interaction", with 24 new papers.

This week was very active for "Computer Science - Learning", with 309 new papers.

Over the past week, 16 new papers were published in "Computer Science - Multiagent Systems".

Over the past week, 21 new papers were published in "Computer Science - Neural and Evolutionary Computing".

This week was active for "Computer Science - Robotics", with 47 new papers.

  • The paper discussed most in the news over the past week was by a team at University of Southern California: "Lifelong Multi-Agent Path Finding in Large-Scale Warehouses" by Jiaoyang Li et al (May 2020), which was referenced 3 times, including in the article Amazon studies anti-collision method for robots to increase throughput in SupplyChainDive.com. The paper was shared 3 times in social media. The researchers study the lifelong variant of MAPF where agents are constantly engaged with new goal locations, such as in large - scale warehouses.

  • Leading researcher Ruslan Salakhutdinov (Carnegie Mellon University) published "Neural Topological SLAM for Visual Navigation", which had 21 shares over the past 5 days. The authors study the problem of image - goal navigation which involves navigating to the location indicated by a goal image in a novel previously unseen environment. This paper was also shared the most on social media with 80 tweets.


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