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tong zhang tong zhang 张彤 i received my ph d from the institute for interdisciplinary information sciences iiis tsinghua university advised by prof yang gao i previously obtained my bachelor s degree from the department of electronic engineering at tsinghua university during my ph d i spent six months as a visiting scholar at uc berkeley advised by koushil sreenath in the hybrid robotics group hrg and berkeley artificial intelligence research lab bair my research focuses on embodied ai which lies at the intersection of artificial intelligence and robotics email tongzhangthu at gmail com email google scholar github news 2025 08 one paper hub is accepted at corl 2025 oral presentation 2025 06 one paper hub is accepted at rss workshop on whole body control and bimanual manipulation 2025 2024 09 three papers sgrv2 rlfp and general flow are accepted at corl 2024 2023 12 invited oral presentation at dai 2023 2023 10 invited talk at rlchina 2023 08 one paper sgr is accepted at corl 2023 2023 04 one paper sgn is accepted at cvpr 2023 workshop on 3d vision and robotics publications openhlm an empirical recipe for whole body humanoid loco manipulation yingdong hu haodong zhu boyuan zheng yihang hu tong zhang zunhao chen junming zhao ruiqian nai yang gao arxiv 2026 project page arxiv code we present openhlm an open source recipe for whole body humanoid loco manipulation through controlled studies on whole body teleoperation vla policy design and heterogeneous co training openhlm outperforms gr00t n1 6 and psi0 with less than half the demonstration time qwen robotmanip technical report alignment unlocks scale for robotic manipulation foundation models haoqi yuan zhixuan liang anzhe chen ye wang haoyang li pei lin yiyang huang zixing lei tong zhang jiazhao zhang jie zhang jingyang fan gengze zhou qihang peng chenxu lv xiaoyue chen an yang fei huang junyang lin dayiheng liu jingren zhou chenfei wu xiong hui chen technical report 2026 project page arxiv blog we present qwen robotmanip a vision language action foundation model for robotic manipulation that studies how unified alignment across heterogeneous robot data enables scalable multi source training the model is evaluated on a range of robotic benchmarks and ranks 1st on the robochallenge table30 v1 generalist track demonstrating strong generalization across unseen tasks scenes and robot platforms humanoid manipulation interface humanoid whole body manipulation from robot free demonstrations ruiqian nai boyuan zheng junming zhao haodong zhu sicong dai zunhao chen yihang hu yingdong hu tong zhang chuan wen yang gao arxiv 2026 project page arxiv x summary we present humi a portable framework for humanoid whole body learning via robot free data collection humi achieves 3x higher efficiency than teleoperation and a 70 success rate across diverse tasks and unseen environments hub learning extreme humanoid balance tong zhang boyuan zheng ruiqian nai yingdong hu yen jen wang geng chen fanqi lin jiongye li chuye hong koushil sreenath yang gao corl 2025 oral presentation rss workshop on whole body control and bimanual manipulation 2025 project page arxiv x summary we propose hub hu manoid b alance a framework that enables humanoids to perform challenging quasi static balance tasks including extreme single legged poses such as the swallow balance and bruce lee s kick leveraging locality to boost sample efficiency in robotic manipulation tong zhang yingdong hu jiacheng you yang gao corl 2024 project page arxiv code x summary we introduce sgrv2 an imitation learning framework that enhances sample efficiency through improved visual and action representations central to the design of sgrv2 is the incorporation of a critical inductive bias action locality which posits that robot s actions are predominantly influenced by the target object and its interactions with the local environment reinforcement learning with foundation priors let the embodied agent efficiently learn on its own weirui ye yunsheng zhang haoyang weng xianfan gu shengjie wang tong zhang mengchen wang pieter abbeel yang gao corl 2024 oral presentation project page arxiv code we propose reinforcement learning with foundation priors rlfp to utilize guidance and feedback from policy value and success reward foundation models within this framework we introduce the foundation guided actor critic fac algorithm which enables embodied agents to explore more efficiently with automatic reward functions general flow as foundation affordance for scalable robot learning chengbo yuan chuan wen tong zhang yang gao corl 2024 project page arxiv code we build a 3d flow prediction model directly from large scale rgbd human video datasets based on this model we achieve stable zero shot human to robot skill transfer in the real world look before you leap unveiling the power of gpt 4v in robotic vision language planning yingdong hu fanqi lin tong zhang li yi yang gao icra workshop on vision language models for navigation and manipulation 2024 project page arxiv we introduce vila a novel approach for long horizon robotic planning that leverages gpt 4v to generate a sequence of actionable steps vila empowers robots to execute complex tasks with a profound understanding of the visual world a universal semantic geometric representation for robotic manipulation tong zhang yingdong hu hanchen cui hang zhao yang gao corl 2023 cvpr workshop on 3d vision and robotics 2023 project page arxiv code we present semantic geometric representation sgr a universal perception module for robotics that leverages the rich semantic information of large scale pre trained 2d models and inherits the merits of 3d spatial reasoning