首页|Study Data from University of Stuttgart Update Understanding of Robotics (Optimization-based Trajectory Planning for Transport Collaboration of Heterogeneous Systems)
Study Data from University of Stuttgart Update Understanding of Robotics (Optimization-based Trajectory Planning for Transport Collaboration of Heterogeneous Systems)
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NETL
NSTL
Walter De Gruyter
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subject of a report. According to news report- ing originating in Stuttgart, Germany, by NewsRx journalists, research stated, “This paper describes an optimization-based trajectory planning scheme for handing over an object between a quadrotor and a wheeled robot in a transportation scenario. Concretely, a quadrotor should pick up an object from a moving ground mobile robot and deliver it to its destination.” Financial support for this research came from German Research Foundation (DFG). The news reporters obtained a quote from the research from the University of Stuttgart, “An op- timization framework based on discrete mechanics and complementarity constraints is utilized here to jointly ensure dynamic feasibility and determine the position, timing, and coordination of the handover au- tonomously. Cooperative trajectories of the heterogeneous robot system can be generated simultaneously to satisfy different requirements by adjusting the objective function and constraints.” According to the news reporters, the research concluded: “The proposed planning scheme provides a novel paradigm combining trajectory planning and handover decision-making within an optimal control problem.” This research has been peer-reviewed.
StuttgartGermanyEuropeEmerging TechnologiesMachine LearningRobotRoboticsUniversity of Stuttgart
NETL
NSTL
Walter De Gruyter
