首页|Findings from Shanghai Jiao Tong University Provides New Data about Robotics (Mu ltiple Terrain Traversal Capabilities Based Mechanism Dimension Design for a Six -legged Robot Using Performance Charts From Analytical Conditions)
Findings from Shanghai Jiao Tong University Provides New Data about Robotics (Mu ltiple Terrain Traversal Capabilities Based Mechanism Dimension Design for a Six -legged Robot Using Performance Charts From Analytical Conditions)
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Researchers detail new data in Robotic s. According to news originating from Shanghai, People's Republic of China, by N ewsRx correspondents, research stated, "Six-legged robots possess powerful terra in traversal capabilities. To achieve small mechanism dimensions that meet these capabilities is crucial for reducing weight and size." Financial support for this research came from Fund of the Shanghai Academy of Sp aceflight Technology. Our news journalists obtained a quote from the research from Shanghai Jiao Tong University, "Traditional tryand-verify design methods that repeat mechanism dime nsion design, simulation, and verification cannot rapidly ensure a suitable resu lt. Optimization methods can obtain an optimal result but cannot be visualized a nd utilize engineers' valuable experience. This paper proposes a novel mechanism dimension design method for six-legged robots that maximize terrain traversal c apabilities in four representative terrains: trenches, low spaces, obstacles, an d steps. Analytical conditions are established to model the relationship between robot's mechanism dimensions and terrain parameters, which are derived from rob ot-terrain non-interference conditions, static stabilities, and workspace limita tions. Performance charts of the terrain traversal capabilities are plotted to s how visualized regions for suitable mechanism dimensions. A suitable dimension i s then selected by engineers based on the charts."
ShanghaiPeople's Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsShangh ai Jiao Tong University
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