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.+We+introduce+goal-conditioned+autoregressive+models+to+generate+crowd+behaviors%252C+capturing+intricate+interactions+among+individuals.+The+model+processes+potential+robot+trajectory+samples+and+predicts+the+reactions+of+surrounding+individuals%252C+enabling+proactive+robotic+navigation+in+complex+scenarios.+Extensive+experiments+show+that+this+algorithm+enables+real-time+navigation%252C+significantly+reducing+collision+rates+and+path+lengths%252C+and+outperforming+selected+baseline+methods.+The+practical+effectiveness+of+this+algorithm+is+validated+on+an+actual+robotic+platform%252C+demonstrating+its+capability+in+dynamic+settings.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.5193e1bb543fc3ee457497a72c5ffd57%3frik%3d0kvqQNfc56O99w%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Pathfinding+Robot+On+a+Maze&FORM=IRPRST&ck=C9D031CE65B006F5B4530E2E62B1C489&selectedIndex=5&itb=0)
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