26 citations · 78 across the 11 of their papers we have counts for
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3 papers · 1 filter
cs.RO2020★ 1 cited
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base Controllers
Guangming Wang, Minjian Xin, Wenhua Wu +2
Deep Reinforcement Learning (DRL) enables robots to perform some intelligent tasks end-to-end. However, there are still many challenges for long-horizon sparse-reward robotic manip…
cs.RO2020★ 15 cited
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning
Binyu Wang, Zhe Liu, Qingbiao Li +1
Path planning for mobile robots in large dynamic environments is a challenging problem, as the robots are required to efficiently reach their given goals while simultaneously avoid…
cs.RO2019★ 2 cited
Coordinating Large-Scale Robot Networks with Motion and Communication Uncertainties for Logistics Applications
Zhe Liu, Hesheng Wang, Shunbo Zhou +2
In this paper, we focus on the problem of task allocation, cooperative path planning and motion coordination of the large-scale system with thousands of robots, aiming for practica…