上海交大复杂系统控制实验室
上海交大复杂系统控制实验室
首页
新闻
团队
项目
论文
联系
中文 (简体)
中文 (简体)
English
何邵颖
博士后
Shanghai Jiao Tong University
何邵颖 是上海交通大学自动化系博士后,研究方向包括机器人和数据驱动控制。上海市自动化学会最佳博士论文获得者,国家博士后创新人才支持计划入选者。
研究方向
机器人
数据驱动控制
教育经历
博士, 2023
上海交通大学
硕士, 2019
上海交通大学
最新
大型桁架式双臂焊接机器人
Improved Trajectory Tracking Control for a Continuum Robot Using Error-Driven ADRC With Input Mapping Method
Leader-Follower Consensus on Matrix-Weighted Switching Networks
Mixture Gaussian process model with Gaussian mixture distribution for big data
Model Predictive Control for Cooperative Grasping with Dual Rigid-Soft Hybrid Robots
Online data-driven input mapping mixed platoon control with variable order model
Online Data-driven Input Mapping Mixed Platoon Control with Variable Order Model
A Modeling and Data-driven Control Framework for Rigid-soft Hybrid Robot with Visual Servoing
Iterative Learning Collaborative Planning Control for Rigid and Soft Robot
Adaptive Control Algorithm for Uncalibrated Position-based Visual Servoing
Eye-in-hand visual servoing control of robot manipulators based on an input mapping method
Model and Control of Hybrid Hard-soft Robots Using Model Predictive Control
Synthetic Robust Model Predictive Control With Input Mapping for Constrained Visual Servoing
Iterative learning control with data-driven-based compensation
The Efficient Data-Driven MPC with Input Mapping Method Based on Polyhedral Invariant Set
Synthesis of ILC--MPC controller with data-driven approach for constrained batch processes
Design of Motion Planning System for Dual-arm Robot with Gantry Based on Temporal Logic Specifications and Predictive Control
引用
×