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Research on Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based

Jian Wu,Yang Yan,Yulong Liu,Yahui Liu,

Engineering doi: 10.1016/j.eng.2023.07.018

Abstract: The forward design of trajectory planning strategies requires preset trajectory optimization functions, resulting in poor adaptability of the strategy and an inability to accurately generate obstacle avoidanceIn addition, owing to the strong time-varying dynamic characteristics of obstacle avoidance scenariosTherefore, an anthropomorphic obstacle-avoidance trajectory planning strategy for adaptive driving scenariosavoidance with the weight of the optimization function, and an anthropomorphic obstacle avoidance trajectory

Keywords: Obstacle avoidance trajectory planning     Inverse reinforcement theory     Anthropomorphic     Adaptive driving    

The Shortest Path for Mobile Robots in Obstacle Avoidance

Guo Ge

Strategic Study of CAE 2003, Volume 5, Issue 5,   Pages 70-75

Abstract:

An obstacle avoidance strategy for mobile robot is presented based on obstacle position and size informationFurthermore, rational robot paths in obstacle avoidance are discussed in detail, which leads to the finalimportant result of optimal path for mobile robot to avoid an obstacle.

Keywords: mobile robot     ultrasonic sensor     obstacle avoidance     path planning     optimal path    

Obstacle-circumventing adaptive control of a four-wheeled mobile robot subjected to motion uncertainties

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0753-3

Abstract: To achieve the collision-free trajectory tracking of the four-wheeled mobile robot (FMR), existing methodsresolve the tracking control and obstacle avoidance separately.By introducing sub-target points, a new sub-target dynamic tracking regression obstacle avoidance strategyis presented to transfer the obstacle avoidance problem into a dynamic tracking one, thereby reducingavoidance efficiency of the concerned FMR system.

Keywords: four-wheeled mobile robot     obstacle-circumventing adaptive control     adaptive anti-disturbance terminalsliding mode control     sub-target dynamic tracking regression obstacle avoidance    

autonomous mining: design and development of an unmanned electric shovel via point cloud-based optimal trajectoryplanning

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0686-2

Abstract: In the field of autonomous excavation, environmental perception and excavation trajectory planning areplanning are presented.Then, by establishing the dynamical model of the UES, a point to point (PTP) excavation trajectory planningOn the basis of reconstructed surface, the PTP trajectory planning method rapidly obtains a reasonableCompared with the common excavation trajectory planning approaches, the proposed method tends to be more

Keywords: autonomous excavation     unmanned electric shovel     point cloud     excavation trajectory planning    

General Optimal Trajectory Planning: Enabling Autonomous Vehicles with the Principle of Least Action

Heye Huang,Yicong Liu,Jinxin Liu,Qisong Yang,Jianqiang Wang,David Abbink,Arkady Zgonnikov,

Engineering doi: 10.1016/j.eng.2023.10.001

Abstract: This study presents a general optimal trajectory planning (GOTP) framework for autonomous vehicles (AVsFurthermore, in selecting the optimal trajectory, we develop a unified and auto-tune objective functionMoreover, we prove that the proposed method can guarantee real-time planning and safety requirements

Keywords: Autonomous vehicle     Trajectory planning     Multi-performance objectives     Principle of least action    

Multiobjective trajectory optimization of intelligent electro-hydraulic shovel

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0706-2

Abstract: Multiobjective trajectory planning is still face challenges due to certain practical requirements andIn this paper, a multiobjective trajectory optimization approach that sets energy consumption, executionthat the proposed approach can provide the high-quality Pareto optimal solutions and outperforms other trajectory

Keywords: trajectory planning     electro-hydraulic shovel     cubic polynomial S-curve     multiobjective optimization    

A new efficient optimal path planner for mobile robot based on Invasive Weed Optimization algorithm

Prases K. MOHANTY,Dayal R. PARHI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 317-330 doi: 10.1007/s11465-014-0304-z

Abstract:

Planning of the shortest/optimal route is essential for efficient operation of autonomous mobile robotWeed Optimization (IWO), a new meta-heuristic algorithm, has been implemented for solving the path planningFirst we have framed an objective function that satisfied the conditions of obstacle avoidance and targetThe optimal trajectory is generated with this navigational algorithm when robot reaches its destinationFinally, it has been found that the developed path planning algorithm can be effectively applied to any

Keywords: mobile robot     obstacle avoidance     Invasive Weed Optimization     navigation    

Trajectory planning of mobile robots using indirect solution of optimal control method in generalized

M. NAZEMIZADEH, H. N. RAHIMI, K. AMINI KHOIY

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 23-28 doi: 10.1007/s11465-012-0304-9

Abstract:

This paper presents an optimal control strategy for optimal trajectory planning of mobile robots byThen, the optimal path planning of the mobile robot is formulated as an optimal control problem.

Keywords: mobile robot     trajectory planning     nonlinear dynamic     optimal control    

Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system

Pei-qiu Huang, Yong Wang, Ke-zhi Wang,pqhuang@csu.edu.cn,ywang@csu.edu.cn,kezhi.wang@northumbria.ac.uk

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12,   Pages 1671-1814 doi: 10.1631/FITEE.2000315

Abstract: Our goal is to minimize the energy consumption of this system by planning the trajectories of UAVs.This problem is difficult to address because when planning the trajectories, we need to consider not

Multi-UAV obstacle avoidance control via multi-objective social learning pigeon-inspired optimization Research

Wan-ying Ruan, Hai-bin Duan,wyruan@buaa.edu.cn,hbduan@buaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5,   Pages 649-808 doi: 10.1631/FITEE.2000066

Abstract: We simulate the flight process of five UAVs in a complex obstacle environment.

Keywords: 无人机;避障;鸽群优化;多目标社会学习鸽群优化    

Trajectory planning and base attitude restoration of dual-arm free-floating space robot by enhanced bidirectional

Zongwu XIE1 , Xiaoyu ZHAO1 , Zainan JIANG1 , Haitao YANG2 , Chongyang LI1

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1, doi: 10.1007/s11465-021-0658-y

Abstract: In this paper, the enhanced bidirectional approach is proposed to plan the manipulator trajectory andproposed, and a new intermediate variable-based Lyapunov function is derived and solved for smooth joint trajectorycarried out in the end, and the proposed method is validated in minimizing final base attitude change and trajectory

Keywords: free-floating space robot     dual arm     coordinated operation     base attitude restoration     bidirectional approach    

Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Frontiers of Structural and Civil Engineering   Pages 994-1010 doi: 10.1007/s11709-023-0942-5

Abstract: The moving trajectory of the pipe-jacking machine (PJM), which primarily determines the end quality ofmodels to support drivers in performing rectifications in advance can effectively avoid considerable trajectoryrecurrent unit (GRU)-based deep learning framework is proposed herein to dynamically predict the moving trajectoryThe results show that the proposed framework can dynamically and precisely predict the PJM moving trajectoryThe proposed framework is expected to provide an effective decision support for moving trajectory control

Keywords: dynamic prediction     moving trajectory     pipe jacking     GRU     deep learning    

Parasitic rotation evaluation and avoidance of 3-UPU parallel mechanism

Haibo QU, Yuefa FANG, Sheng GUO

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 2,   Pages 210-218 doi: 10.1007/s11465-012-0317-4

Abstract: Finally, the method for avoidance of possible parasitic motions is presented by adding redundantly actuated

Keywords: parallel mechanism     3-UPU (universal-prismatic-universal joint)     parasitic motions     limited clearance     redundantly actuated limbs    

A double-layered nonlinear model predictive control based control algorithm for local trajectory planning Research Articles

Hong-chao Wang, Wei-wei Zhang, Xun-cheng Wu, Hao-tian Cao, Qiao-ming Gao, Su-yun Luo,17721336541@163.com,zwwsues@163.com,longxd2714@163.com,yjs_liqing@163.com,mosxsues@163.com,ly18362885604@163.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7,   Pages 963-1118 doi: 10.1631/FITEE.1900185

Abstract: We present a double-layered control algorithm to plan the local trajectory for s equipped with four hubThe MLN-MPC controller is applied to plan a dynamically feasible trajectory, and the SLN-MPC controlleroff-line co-simulation environments of AMESim, Simulink, dSPACE, and TruckSim, a dynamically feasible trajectorywith collision avoidance operation can be generated using the proposed method, and the longitudinal

Keywords: Automated truck     Trajectory planning     Nonlinear model predictive control     Longitudinal slip    

Title Author Date Type Operation

Research on Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based

Jian Wu,Yang Yan,Yulong Liu,Yahui Liu,

Journal Article

The Shortest Path for Mobile Robots in Obstacle Avoidance

Guo Ge

Journal Article

Obstacle-circumventing adaptive control of a four-wheeled mobile robot subjected to motion uncertainties

Journal Article

autonomous mining: design and development of an unmanned electric shovel via point cloud-based optimal trajectoryplanning

Journal Article

General Optimal Trajectory Planning: Enabling Autonomous Vehicles with the Principle of Least Action

Heye Huang,Yicong Liu,Jinxin Liu,Qisong Yang,Jianqiang Wang,David Abbink,Arkady Zgonnikov,

Journal Article

Multiobjective trajectory optimization of intelligent electro-hydraulic shovel

Journal Article

A new efficient optimal path planner for mobile robot based on Invasive Weed Optimization algorithm

Prases K. MOHANTY,Dayal R. PARHI

Journal Article

Trajectory planning of mobile robots using indirect solution of optimal control method in generalized

M. NAZEMIZADEH, H. N. RAHIMI, K. AMINI KHOIY

Journal Article

Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system

Pei-qiu Huang, Yong Wang, Ke-zhi Wang,pqhuang@csu.edu.cn,ywang@csu.edu.cn,kezhi.wang@northumbria.ac.uk

Journal Article

Intelligent computing budget allocation for on-road trajectory planning based on candidate curves

Xiao-xin FU,Yong-heng JIANG,De-xian HUANG,Jing-chun WANG,Kai-sheng HUANG

Journal Article

Multi-UAV obstacle avoidance control via multi-objective social learning pigeon-inspired optimization

Wan-ying Ruan, Hai-bin Duan,wyruan@buaa.edu.cn,hbduan@buaa.edu.cn

Journal Article

Trajectory planning and base attitude restoration of dual-arm free-floating space robot by enhanced bidirectional

Zongwu XIE1 , Xiaoyu ZHAO1 , Zainan JIANG1 , Haitao YANG2 , Chongyang LI1

Journal Article

Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Journal Article

Parasitic rotation evaluation and avoidance of 3-UPU parallel mechanism

Haibo QU, Yuefa FANG, Sheng GUO

Journal Article

A double-layered nonlinear model predictive control based control algorithm for local trajectory planning

Hong-chao Wang, Wei-wei Zhang, Xun-cheng Wu, Hao-tian Cao, Qiao-ming Gao, Su-yun Luo,17721336541@163.com,zwwsues@163.com,longxd2714@163.com,yjs_liqing@163.com,mosxsues@163.com,ly18362885604@163.com

Journal Article