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Multi-robot Social-aware Cooperative Planning in Pedestrian Environments Using Multi-agent Reinforcement Learning
Safe and efficient co-planning of multiple robots in pedestrian participation environments is promising for applications.
Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots
In this paper, a novel hybrid multi-robot motion planner that can be applied under non-communication and local observable conditions is presented.
Texture Enhanced Image Denoising via Gradient Histogram Preservation
Image denoising is a classical yet fundamental problem in low level vision, as well as an ideal test bed to evaluate various statistical image modeling methods.
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