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Collaborative Planar Pushing of Polytopic Objects with Multiple Robots in Complex Scenes

Autor: Tang, Zili, Feng, Yuming, Guo, Meng

Pushing is a simple yet effective skill for robots to interact with and further change the environment. Related work has been mostly focused on utilizing it as a non-prehensile manipulation primitive for a robotic manipulator. However, it can also be

Externí odkaz: http://arxiv.org/abs/2405.07908

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Accelerated K-Serial Stable Coalition for Dynamic Capture and Resource Defense

Autor: Chen, Junfeng, Tang, Zili, Guo, Meng

Coalition is an important mean of multi-robot systems to collaborate on common tasks. An adaptive coalition strategy is essential for the online performance in dynamic and unknown environments. In this work, the problem of territory defense by large-

Externí odkaz: http://arxiv.org/abs/2305.15729

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Combinatorial-hybrid Optimization for Multi-agent Systems under Collaborative Tasks

Autor: Tang, Zili, Chen, Junfeng, Guo, Meng

Multi-agent systems can be extremely efficient when working concurrently and collaboratively, e.g., for transportation, maintenance, search and rescue. Coordination of such teams often involves two aspects: (i) selecting appropriate sub-teams for dif

Externí odkaz: http://arxiv.org/abs/2305.12860

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Akademický článek

NRF2 activation by antioxidant antidiabetic agents accelerates tumor metastasis.

Cancer is a common comorbidity of diabetic patients; however, little is known about the effects that antidiabetic drugs have on tumors. We discovered that common classes of drugs used in type 2 diabetes mellitus, the hypoglycemic dipeptidyl peptidase

Externí odkaz: http://hdl.handle.net/10150/615617
http://arizona.openrepository.com/arizona/handle/10150/615617

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