首页|New Robotics Research from American University of the Middle East Outlined (Desi gn and Analysis of a Planar Six-Bar Crank- Driven Leg Mechanism for Walking Robot s)

New Robotics Research from American University of the Middle East Outlined (Desi gn and Analysis of a Planar Six-Bar Crank- Driven Leg Mechanism for Walking Robot s)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented i n a new report. According to news reporting out of Egaila, Kuwait, by NewsRx edi tors, research stated, “This study presents the design and a thorough analysis o f a six-bar crank-driven leg mechanism integrated with a skew pantograph, develo ped for walking robots. The mechanism’s dimensions were optimized using a rigoro us dimensional synthesis process in GIM software (version 2024).” The news journalists obtained a quote from the research from American University of the Middle East: “Subsequently, a detailed kinematic analysis was performed in GIM to simulate the leg’s motion trajectory, velocity, and acceleration. In p arallel, kinematic equations were formulated using the vector loop method, imple mented in MATLAB (version R2013-b), and compared with the GIM results for valida tion, demonstrating the strong agreement between both tools. These results confi rm the mechanism’s ability to generate a compact, high-lift foot trajectory whil e maintaining system stability and energy efficiency. An inverse dynamic analysi s was carried out to determine the actuator’s driving torque, ensuring efficient operation under expected load conditions. Furthermore, topology optimization co nducted in SOLIDWORKS (version 2021) significantly reduced the weight of the gro und-contacting link while preserving its structural integrity. A subsequent stre ss analysis validated the mechanical viability of the optimized design, supporti ng its feasibility for real-world implementation.”

American University of the Middle EastEgailaKuwaitEmerging TechnologiesMachine LearningNano-robotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.17)