200 citations
- University of California, RiversideUS2 papers
- Beijing Institute of TechnologyCN1 paper
- Chinese Academy of SciencesCN1 paper
- Chongqing UniversityCN1 paper
- Harbin Institute of TechnologyCN1 paper
- Institute of AutomationCN1 paper
- Ministry of Education of the People's Republic of ChinaCN1 paper
- Nanyang Technological UniversitySG1 paper
- Shandong Institute of AutomationCN1 paper
- Shanghai Jiao Tong UniversityCN1 paper
7 papers
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry
Guangming Wang, Chi Zhang, Hesheng Wang +3
In autonomous driving, monocular sequences contain lots of information. Monocular depth estimation, camera ego-motion estimation and optical flow estimation in consecutive frames a…
Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications
Moming Duan, Duo Liu, Xianzhang Chen +4
Federated learning (FL) is a distributed deep learning method which enables multiple participants, such as mobile phones and IoT devices, to contribute a neural network model while…
Real-time Trajectory Generation for Quadrotors using B-spline based Non-uniform Kinodynamic Search
Lvbang Tang, Hesheng Wang, Peng Li +1
In this paper, we propose a time-efficient approach to generate safe, smooth and dynamically feasible trajectories for quadrotors in obstacle-cluttered environment. By using the un…
Towards Manipulability of Interactive Lagrangian Systems
Hanlei Wang
This paper investigates manipulability of interactive Lagrangian systems with parametric uncertainty and communication/sensing constraints. Two standard examples are teleoperation…
Dynamic Modularity Approach to Adaptive Inner/Outer Loop Control of Robotic Systems
Hanlei Wang, Wei Ren, Chien Chern Cheah +2
Modern applications of robotics typically involve a robot control system with an inner PI (proportional-integral) or PID (proportional-integral-derivative) control loop and an oute…
On Convergence Rate of Leader-Following Consensus of Linear Multi-Agent Systems with Communication Noises
Long Cheng, Yunpeng Wang, Wei Ren +2
This note further studies the previously proposed consensus protocol for linear multi-agent systems with communication noises in [15], [16]. Each agent is allowed to have its own t…