scholarly journals Multi-Objective Path Planning for Autonomous Robots Using Reconfigurable Analog VLSI

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 80134-80147
Author(s):  
Scott Koziol
Keyword(s):  
Path Planning ◽  
Autonomous Robots ◽  
Analog Vlsi ◽  
Multi Objective

Single-Objective Path Planning for Autonomous Robots Using Reconfigurable Analog VLSI

2017 ◽  
Vol 47 (7) ◽  
pp. 1301-1314 ◽  
Author(s):  
Scott Koziol ◽  
Richard Wunderlich ◽  
Jennifer Hasler ◽  
Mike Stilman
Keyword(s):  
Path Planning ◽  
Autonomous Robots ◽  
Analog Vlsi ◽  
Single Objective

Solving the multi-objective path planning problem in mobile robotics with a firefly-based approach

2015 ◽  
Vol 21 (4) ◽  
pp. 949-964 ◽  
Author(s):  
Alejandro Hidalgo-Paniagua ◽  
Miguel A. Vega-Rodríguez ◽  
Joaquín Ferruz ◽  
Nieves Pavón
Keyword(s):  
Path Planning ◽  
Mobile Robotics ◽  
Planning Problem ◽  
Multi Objective ◽  
Path Planning Problem

Path planning of spot welding robot based on multi-objective grey wolf algorithm

2021 ◽  
pp. 1-9
Author(s):  
Yun-Tao Zhao ◽  
Lei Gan ◽  
Wei-Gang Li ◽  
Ao Liu
Keyword(s):  
Path Planning ◽  
Density Estimation ◽  
Spot Welding ◽  
Teaching Method ◽  
Grey Wolf ◽  
Pareto Solution ◽  
Multi Objective ◽  
Operation Rules ◽  
Welding Sequence ◽  
Body In White

The path planning of traditional spot welding mostly uses manual teaching method. Here, a new model of path planning is established from two aspects of welding length and welding time. Then a multi-objective grey wolf optimization algorithm with density estimation (DeMOGWO) is proposed to solve multi-object discrete problems. The algorithm improves the coding method and operation rules, and sets the density estimation mechanism in the environment update. By comparing with other five algorithms on the benchmark problem, the simulation results show that DeMOGWO is competitive which takes into account both diversity and convergence. Finally, the DeMOGWO algorithm is used to solve the model established of path planning. The Pareto solution obtained can be used to guide the welding sequence of body-in-white(BIW) workpieces.

scholarly journals Multi-objective path planning of an autonomous mobile robot using hybrid PSO-MFB optimization algorithm

2020 ◽  
Vol 89 ◽  
pp. 106076 ◽  
Author(s):  
Fatin H. Ajeil ◽  
Ibraheem Kasim Ibraheem ◽  
Mouayad A. Sahib ◽  
Amjad J. Humaidi
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Optimization Algorithm ◽  
Autonomous Mobile Robot ◽  
Multi Objective

scholarly journals Multi-Objective Path Planning for Single Crystal Size and Shape Modification

2017 ◽  
Vol 17 (9) ◽  
pp. 4873-4886 ◽  
Author(s):  
Stefan Bötschi ◽  
David R. Ochsenbein ◽  
Manfred Morari ◽  
Marco Mazzotti
Keyword(s):  
Path Planning ◽  
Single Crystal ◽  
Crystal Size ◽  
Shape Modification ◽  
Multi Objective ◽  
Size And Shape
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