103 citations · 225 across the 6 of their papers we have counts for
6 papers
Vision-based navigation and obstacle avoidance via deep reinforcement learning
Paul Blum, Peter Crowley, George Lykotrafitis
Development of navigation algorithms is essential for the successful deployment of robots in rapidly changing hazardous environments for which prior knowledge of configuration is o…
Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles
Yihao Zhang, Zhaojie Chai, George Lykotrafitis
A very successful model for simulating emergency evacuation is the social-force model. At the heart of the model is the self-driven force that is applied to an agent and is directe…
A deep reinforcement learning model based on deterministic policy gradient for collective neural crest cell migration
Yihao Zhang, Zhaojie Chai, Yubing Sun +1
Modeling cell interactions such as co-attraction and contact-inhibition of locomotion is essential for understanding collective cell migration. Here, we propose a novel deep reinfo…
Modeling Biological Membrane and Red Blood Cells by Coarse- Grained Particle Method
He Li, Hung-yu Chang, Jun Yang +2
In this work, we review previously developed coarse-grained (CG) particle models for biological membrane and red blood cells (RBCs) and discuss the advantages of the CG particle me…
Axon Membrane Skeleton Structure is Optimized for Coordinated Sodium Propagation
Yihao Zhang, Vi Ha, He Li +2
Axons transmit action potentials with high fidelity and minimal jitter. This unique capability is likely the result of the spatiotemporal arrangement of sodium channels along the a…
Frictional sliding modes along an interface between identical elastic plates subject to shear impact loading
D. Coker, G. Lykotrafitis, A. Needleman +1
Frictional sliding along an interface between two identical isotropic elastic plates under impact shear loading is investigated experimentally and numerically. The plates are held…