稳健性(进化)                        
                
                                
                        
                            实施                        
                
                                
                        
                            Python(编程语言)                        
                
                                
                        
                            机器人学                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            路径(计算)                        
                
                                
                        
                            组分(热力学)                        
                
                                
                        
                            算法                        
                
                                
                        
                            机器人                        
                
                                
                        
                            运动规划                        
                
                                
                        
                            数学优化                        
                
                                
                        
                            人工智能                        
                
                                
                        
                            数学                        
                
                                
                        
                            程序设计语言                        
                
                                
                        
                            生物化学                        
                
                                
                        
                            化学                        
                
                                
                        
                            物理                        
                
                                
                        
                            基因                        
                
                                
                        
                            热力学                        
                
                        
                    
                    
        
    
            
            标识
            
                                    DOI:10.1109/tro.2014.2351113
                                    
                                
                                 
         
        
                
            摘要
            
            Finding the Time-Optimal Parameterization of a given Path (TOPP) subject to kinodynamic constraints is an essential component in many robotic theories and applications. The objective of this article is to provide a general, fast and robust implementation of this component. For this, we give a complete solution to the issue of dynamic singularities, which are the main cause of failure in existing implementations. We then present an open-source implementation of the algorithm in C++/Python and demonstrate its robustness and speed in various robotics settings.
         
            
 
                 
                
                    
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