2 citations · 5 across the 9 of their papers we have counts for
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cs.RO2024★ 2 cited
Structured Deep Neural Network-Based Backstepping Trajectory Tracking Control for Lagrangian Systems
Jiajun Qian, Liang Xu, Xiaoqiang Ren +1
Deep neural networks (DNN) are increasingly being used to learn controllers due to their excellent approximation capabilities. However, their black-box nature poses significant cha…
cs.RO2022★ 2 cited
Autonomous Highway Merging in Mixed Traffic Using Reinforcement Learning and Motion Predictive Safety Controller
Qianqian Liu, Fengying Dang, Xiaofan Wang +1
Deep reinforcement learning (DRL) has a great potential for solving complex decision-making problems in autonomous driving, especially in mixed-traffic scenarios where autonomous v…
cs.RO2021
Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and Q-map Masking
Dafa Ren, Xiaoqiang Ren, Xiaofan Wang +2
Grasping objects in cluttered scenarios is a challenging task in robotics. Performing pre-grasp actions such as pushing and shifting to scatter objects is a way to reduce clutter.…