首页|Reports Summarize Robotics Study Results from University of Toulouse (Co-designi ng Versatile Quadruped Robots for Dynamic and Energy-efficient Motions)
Reports Summarize Robotics Study Results from University of Toulouse (Co-designi ng Versatile Quadruped Robots for Dynamic and Energy-efficient Motions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting from Toulouse, France, by NewsRx journalist s, research stated, “This paper presents a concurrent optimization approach for the design and motion of a quadruped in order to achieve energy-efficient cyclic behaviors. Computational techniques are applied to improve the development of a novel quadruped prototype.” Financial supporters for this research include French government as part of the ROBOTEX 2.0 program,Agence Nationale de la Recherche (ANR), EU through the AGIM US project, German Aerospace Centre (DLR), Federal Ministry of Education & Research (BMBF). The news correspondents obtained a quote from the research from the University o f Toulouse, “The scale of the robot and its actuators are optimized for energy e fficiency considering the complete actuator model including friction, torque, an d bandwidth limitations. This method and the optimal bounding trajectories are t ested on the first (non-optimized) prototype design iteration showing that our f ormulation produces a trajectory that (i) can be easily replayed on the real rob ot and (ii) reduces the power consumption w.r.t. hand-tuned motion heuristics. P ower consumption is then optimized for several periodic tasks with co-design. Ou r results include, but are not limited to, a bounding and backflip task. It appe ars that, for jumping forward, robots with longer thighs perform better, while, for backflips, longer shanks are better suited. To explore the tradeoff between these different designs, a Pareto set is constructed to guide the next iteration of the prototype.”
ToulouseFranceEuropeEmerging Techn ologiesMachine LearningNano-robotRobotRoboticsUniversity of Toulouse
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