38 citations · 50 across the 5 of their papers we have counts for
5 papers
Learning-based Predictive Path Following Control for Nonlinear Systems Under Uncertain Disturbances
Rui Yang, Lei Zheng, Jiesen Pan +1
Accurate path following is challenging for autonomous robots operating in uncertain environments. Adaptive and predictive control strategies are crucial for a nonlinear robotic sys…
End-to-end Decentralized Multi-robot Navigation in Unknown Complex Environments via Deep Reinforcement Learning
Juntong Lin, Xuyun Yang, Peiwei Zheng +1
In this paper, a novel deep reinforcement learning (DRL)-based method is proposed to navigate the robot team through unknown complex environments, where the geometric centroid of t…
MetaGrasp: Data Efficient Grasping by Affordance Interpreter Network
Junhao Cai, Hui Cheng, Zhanpeng Zhang +1
Data-driven approach for grasping shows significant advance recently. But these approaches usually require much training data. To increase the efficiency of grasping data collectio…
Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction
Liang Lin, Lili Huang, Tianshui Chen +2
This paper aims at task-oriented action prediction, i.e., predicting a sequence of actions towards accomplishing a specific task under a certain scene, which is a new problem in co…
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning
Keze Wang, Shengfu Zhai, Hui Cheng +2
Human pose estimation (i.e., locating the body parts / joints of a person) is a fundamental problem in human-computer interaction and multimedia applications. Significant progress…