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author= Xuanlin (Simon) Li;
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xuanlin simon li xuanlin simon li i am a tech lead research scientist and a founding team member at sudo ai i build generalizable algorithms systems for robotics across data and learning resume oct 24 github google scholar linkedin twitter email research i am primarily interested in embodied ai vision language and robotics my goal is to build robotic agents with universal open world manipulation perception and reasoning capabilities that can be efficiently and robustly deployed for real world applications this is done by scaling up high quality training data rl learning from demonstration algorithms vision language models and evaluation benchmarks during my phd i have been a major contributor of the sapien manipulation skill challenge maniskill i ve also lead the benchmark on evaluating real world generalist robot manipulation policies in simulation simpler env education phd ucsd cse advised by prof hao su 2021 2025 b a mathematics b a computer science uc berkeley 2017 2021 research assistant at berkeley artificial intelligence research advised by prof trevor darrell equal contribution planning guided diffusion policy learning for generalizable contact rich bimanual manipulation xuanlin li tong zhao xinghao zhu jiuguang wang tao pang kuan fang preprint paper website evaluating real world robot manipulation policies in simulation xuanlin li kyle hsu jiayuan gu karl pertsch oier mees homer rich walke chuyuan fu ishikaa lunawat isabel sieh sean kirmani sergey levine jiajun wu chelsea finn hao su quan vuong ted xiao conference on robot learning corl 2024 paper website code open x embodiment robotic learning datasets and rt x models contributor author ieee international conference on robotics and automation icra 2024 paper website partslip enhancing low shot 3d part segmentation via multi view instance segmentation and maximum likelihood estimation yuchen zhou jiayuan gu xuanlin li minghua liu yunhao fang hao su preprint arxiv unleashing the creative mind language model as hierarchical policy for improved exploration on challenging problem solving zhan ling yunhao fang xuanlin li tongzhou mu mingu lee reza pourreza roland memisevic hao su preprint arxiv distilling large vision language model with out of distribution generalizability xuanlin li yunhao fang minghua liu zhan ling zhuowen tu hao su international conference on computer vision iccv 2023 arxiv code poster deductive verification of chain of thought reasoning zhan ling yunhao fang xuanlin li zhiao huang mingu lee roland memisevic hao su neural information processing systems neurips 2023 arxiv code openshape scaling up 3d shape representation towards open world understanding minghua liu ruoxi shi kaiming kuang yinhao zhu xuanlin li shizhong han hong cai fatih porikli hao su neural information processing systems neurips 2023 arxiv website code live fitness coaching as a testbed for situated interaction sunny panchal apratim bhattacharyya guillaume berger antoine mercier cornelius bohm florian dietrichkeit reza pourreza xuanlin li pulkit madan mingu lee mark todorovich ingo bax roland memisevic neural information processing systems neurips 2024 paper on the efficacy of 3d point cloud reinforcement learning zhan ling yunchao yao xuanlin li hao su preprint arxiv code reparameterized policy learning for multimodal trajectory optimization zhiao huang litian liang zhan ling xuanlin li chuang gan hao su international conference on machine learning icml 2023 oral arxiv website code frame mining a free lunch for learning robotic manipulation from 3d point clouds xuanlin li minghua liu zhan ling yangyan li hao su conference on robot learning corl 2022 arxiv website video code maniskill2 a unified benchmark for generalizable manipulation skills jiayuan gu fanbo xiang xuanlin li zhan ling xiqiang liu tongzhou mu yihe tang stone tao xinyue wei yunchao yao xiaodi yuan pengwei xie zhiao huang rui chen hao su iclr 2023 arxiv website code implementation maniskill generalizable manipulation skill benchmark with large scale demonstrations tongzhou mu zhan ling fanbo xiang derek yang xuanlin li stone tao zhiao huang zhiwei jia hao su neural information processing systems neurips datasets and benchmarks track 2021 arxiv website video code implementation discovering non monotonic autoregressive orderings with variational inference xuanlin li brandon trabucco dong huk park yang gao michael luo sheng shen trevor darrell international conference on learning representations iclr 2021 arxiv video_transcripts code poster slides improving policy optimization with generalist specialist learning zhiwei jia xuanlin li zhan ling shuang liu yiran wu hao su international conference on machine learning icml 2022 arxiv website code regularization matters in policy optimization an empirical study on continuous control zhuang liu xuanlin li bingyi kang trevor darrell international conference on learning representations iclr 2021 spotlight arxiv video code poster slides other projects these include coursework side projects and unpublished research work inferring the optimal policy using markov chain monte carlo brandon trabucco albert qu xuanlin li ganeshkumar ashokavardhanan berkeley eecs 126 probability and random processes 2018 12 10 arxiv final course project for eecs 126 probability and random processes in fall 2018 experiences sudo ai sep 2024 now boston dynamics ai institute research intern jun 2024 sep 2024 hillbot ai research intern feb 2024 jun 2024 qualcomm ai research research intern mar 2023 sep 2023 berkeley artificial intelligence research undergraduate research assistant 2019 2021 services challenge organizer sapien manipulation skill challenge 1 sapien manipulation skill challenge 2 conference reviewer computer vision cvpr eccv iccv machine learning neurips icml iclr robotics icra corl ra l ijrr honors and awards jacobs school of engineering phd fellowship uc san diego cse 2021 arthur m hopkin award uc berkeley eecs 2021 eecs honors program mathematics honors program uc berkeley design and source code from jon barron s website
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