An Efficient Online Trajectory Generation Method Based on Kinodynamic Path Search and Trajectory Optimization for Human-Robot Interaction Safety | |
Liu HY(刘鸿雁)2,3,4; Qu DK(曲道奎)1,3,4; Xu F(徐方)1,3,4; Du ZJ(杜振军)1; Jia K(贾凯)1,3,4; Liu MM(刘明敏)1 | |
刊名 | Entropy |
2022 | |
卷号 | 24期号:5页码:1-29 |
关键词 | B-spline human-robot interaction kinodynamic path search real-time collision avoidance replanning trajectory optimization |
ISSN号 | 1099-4300 |
产权排序 | 1 |
英文摘要 | With the rapid development of robot perception and planning technology, robots are gradually getting rid of fixed fences and working closely with humans in shared workspaces. The safety of human-robot coexistence has become critical. Traditional motion planning methods perform poorly in dynamic environments where obstacles motion is highly uncertain. In this paper, we propose an efficient online trajectory generation method to help manipulator autonomous planning in dynamic environments. Our approach starts with an efficient kinodynamic path search algorithm that considers the links constraints and finds a safe and feasible initial trajectory with minimal control effort and time. To increase the clearance between the trajectory and obstacles and improve the smoothness, a trajectory optimization method using the B-spline convex hull property is adopted to minimize the penalty of collision cost, smoothness, and dynamical feasibility. To avoid the collisions between the links and obstacles and the collisions of the links themselves, a constraint-relaxed links collision avoidance method is developed by solving a quadratic programming problem. Compared with the existing state-of-the-art planning method for dynamic environments and advanced trajectory optimization method, our method can generate a smoother, collision-free trajectory in less time with a higher success rate. Detailed simulation comparison experiments, as well as real-world experiments, are reported to verify the effectiveness of our method. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
语种 | 英语 |
WOS记录号 | WOS:000802486000001 |
资助机构 | National Natural Science Foundation of China (No.U20A20197) |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/31021] |
专题 | 沈阳自动化研究所_其他 |
通讯作者 | Liu HY(刘鸿雁) |
作者单位 | 1.SIASUN Robot & Automation Co., Ltd., Shenyang 110169, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 4.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
推荐引用方式 GB/T 7714 | Liu HY,Qu DK,Xu F,et al. An Efficient Online Trajectory Generation Method Based on Kinodynamic Path Search and Trajectory Optimization for Human-Robot Interaction Safety[J]. Entropy,2022,24(5):1-29. |
APA | Liu HY,Qu DK,Xu F,Du ZJ,Jia K,&Liu MM.(2022).An Efficient Online Trajectory Generation Method Based on Kinodynamic Path Search and Trajectory Optimization for Human-Robot Interaction Safety.Entropy,24(5),1-29. |
MLA | Liu HY,et al."An Efficient Online Trajectory Generation Method Based on Kinodynamic Path Search and Trajectory Optimization for Human-Robot Interaction Safety".Entropy 24.5(2022):1-29. |
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