Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387259035> ?p ?o ?g. }
- W4387259035 endingPage "6910" @default.
- W4387259035 startingPage "6910" @default.
- W4387259035 abstract "Energy usage in robotic applications is rapidly increasing as industrial robot installations grow. This research introduces a novel approach, using the rapidly exploring random tree (RRT)-based scheme for optimizing the robot’s motion planning and minimizing energy consumption. Sampling-based algorithms for path planning, such as RRT and its many other variants, are widely used in robotic motion planning due to their efficiency in solving complex high-dimensional problems efficiently. However, standard versions of these algorithms cannot guarantee that the generated trajectories are always optimum and mostly ignore the energy consumption in robotic applications. This paper proposes an energy-efficient industrial robotics motion planning approach using the novel flight cost-based RRT (FC-RRT*) algorithm in pick-and-place operation to generate nodes in a predetermined direction and then calculate energy consumption using the circle point method. After optimizing the motion trajectory, power consumption is computed for the rotary axes of a six degree of freedom (6DOF) serial type of industrial robot using the work–energy hypothesis for the rotational motion of a rigid body. The results are compared to the traditional RRT and RRT* (RRT-star) algorithm as well as the kinematic solutions. The experimental results of axis indexing tests indicate that by employing the sampling-based FC-RRT* algorithm, the robot joints consume less energy (1.6% to 16.5% less) compared to both the kinematic solution and the conventional RRT* algorithm." @default.
- W4387259035 created "2023-10-03" @default.
- W4387259035 creator A5009304340 @default.
- W4387259035 creator A5019787002 @default.
- W4387259035 creator A5028291488 @default.
- W4387259035 creator A5033193171 @default.
- W4387259035 date "2023-09-30" @default.
- W4387259035 modified "2023-10-06" @default.
- W4387259035 title "A Novel Sampling-Based Optimal Motion Planning Algorithm for Energy-Efficient Robotic Pick and Place" @default.
- W4387259035 cites W1777783943 @default.
- W4387259035 cites W1926428750 @default.
- W4387259035 cites W2000359213 @default.
- W4387259035 cites W2011911028 @default.
- W4387259035 cites W2027823427 @default.
- W4387259035 cites W2112271657 @default.
- W4387259035 cites W2117168072 @default.
- W4387259035 cites W2128990851 @default.
- W4387259035 cites W2159524963 @default.
- W4387259035 cites W2531653844 @default.
- W4387259035 cites W2765782624 @default.
- W4387259035 cites W2801644499 @default.
- W4387259035 cites W2911237500 @default.
- W4387259035 cites W2976419033 @default.
- W4387259035 cites W2980841485 @default.
- W4387259035 cites W3007166662 @default.
- W4387259035 cites W3026731415 @default.
- W4387259035 cites W3034726893 @default.
- W4387259035 cites W3046245473 @default.
- W4387259035 cites W3096697817 @default.
- W4387259035 cites W3165149185 @default.
- W4387259035 cites W3170671335 @default.
- W4387259035 cites W3181420625 @default.
- W4387259035 cites W3189091444 @default.
- W4387259035 cites W3197436811 @default.
- W4387259035 cites W3198127959 @default.
- W4387259035 cites W3213765379 @default.
- W4387259035 cites W3214738088 @default.
- W4387259035 cites W3217170181 @default.
- W4387259035 cites W4210376712 @default.
- W4387259035 cites W4210394296 @default.
- W4387259035 cites W4210438369 @default.
- W4387259035 cites W4210978206 @default.
- W4387259035 cites W4214534156 @default.
- W4387259035 cites W4220802429 @default.
- W4387259035 cites W4220992570 @default.
- W4387259035 cites W4226450309 @default.
- W4387259035 cites W4293195309 @default.
- W4387259035 cites W4382402746 @default.
- W4387259035 cites W775398847 @default.
- W4387259035 cites W815746727 @default.
- W4387259035 doi "https://doi.org/10.3390/en16196910" @default.
- W4387259035 hasPublicationYear "2023" @default.
- W4387259035 type Work @default.
- W4387259035 citedByCount "0" @default.
- W4387259035 crossrefType "journal-article" @default.
- W4387259035 hasAuthorship W4387259035A5009304340 @default.
- W4387259035 hasAuthorship W4387259035A5019787002 @default.
- W4387259035 hasAuthorship W4387259035A5028291488 @default.
- W4387259035 hasAuthorship W4387259035A5033193171 @default.
- W4387259035 hasBestOaLocation W43872590351 @default.
- W4387259035 hasConcept C105795698 @default.
- W4387259035 hasConcept C11413529 @default.
- W4387259035 hasConcept C119599485 @default.
- W4387259035 hasConcept C121332964 @default.
- W4387259035 hasConcept C127413603 @default.
- W4387259035 hasConcept C1276947 @default.
- W4387259035 hasConcept C13662910 @default.
- W4387259035 hasConcept C154945302 @default.
- W4387259035 hasConcept C17511633 @default.
- W4387259035 hasConcept C186370098 @default.
- W4387259035 hasConcept C2742236 @default.
- W4387259035 hasConcept C2776126113 @default.
- W4387259035 hasConcept C2776839635 @default.
- W4387259035 hasConcept C2780165032 @default.
- W4387259035 hasConcept C33923547 @default.
- W4387259035 hasConcept C34413123 @default.
- W4387259035 hasConcept C39920418 @default.
- W4387259035 hasConcept C41008148 @default.
- W4387259035 hasConcept C44154836 @default.
- W4387259035 hasConcept C74650414 @default.
- W4387259035 hasConcept C81074085 @default.
- W4387259035 hasConcept C90509273 @default.
- W4387259035 hasConceptScore W4387259035C105795698 @default.
- W4387259035 hasConceptScore W4387259035C11413529 @default.
- W4387259035 hasConceptScore W4387259035C119599485 @default.
- W4387259035 hasConceptScore W4387259035C121332964 @default.
- W4387259035 hasConceptScore W4387259035C127413603 @default.
- W4387259035 hasConceptScore W4387259035C1276947 @default.
- W4387259035 hasConceptScore W4387259035C13662910 @default.
- W4387259035 hasConceptScore W4387259035C154945302 @default.
- W4387259035 hasConceptScore W4387259035C17511633 @default.
- W4387259035 hasConceptScore W4387259035C186370098 @default.
- W4387259035 hasConceptScore W4387259035C2742236 @default.
- W4387259035 hasConceptScore W4387259035C2776126113 @default.
- W4387259035 hasConceptScore W4387259035C2776839635 @default.
- W4387259035 hasConceptScore W4387259035C2780165032 @default.
- W4387259035 hasConceptScore W4387259035C33923547 @default.
- W4387259035 hasConceptScore W4387259035C34413123 @default.