首页|Studies from University of California Berkeley in the Area of Robotics and Autom ation Described (Drplanner: Diagnosis and Repair of Motion Planners for Automate d Vehicles Using Large Language Models)
Studies from University of California Berkeley in the Area of Robotics and Autom ation Described (Drplanner: Diagnosis and Repair of Motion Planners for Automate d Vehicles Using Large Language Models)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics - Robotics and Automation. According to news reporting from Berkeley, Cal ifornia, by NewsRx journalists, research stated, "Motion planners are essential for the safe operation of automated vehicles across various scenarios. However, no motion planning algorithm has achieved perfection in the literature, and impr oving its performance is often time-consuming and labor-intensive." Financial supporters for this research include German Federal Ministry for Digit al and Transport (BMDV) for the project KoSi, German Research Foundation (DFG), Berkeley Deep Drive. The news correspondents obtained a quote from the research from the University o f California Berkeley, "To tackle the aforementioned issues, we present $ {\mathtt {DrPlanner} }$, the first framework designed to automatically diag nose and repair motion planners using large language models. Initially, we gener ate a structured description of the planner and its planned trajectories from bo th natural and programming languages. Leveraging the profound capabilities of la rge language models, our framework returns repaired planners with detailed diagn ostic descriptions. Furthermore, our framework advances iteratively with continu ous feedback from the evaluation of the repaired outcomes."
BerkeleyCaliforniaUnited StatesNor th and Central AmericaRobotics and AutomationRoboticsUniversity of Califor nia Berkeley
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