李根，教授、博士生导师、国家高层次青年人才、湖南大学岳麓学者，王耀南院士、刘敏教授团队成员。获英国爱丁堡大学博士学位，曾任新加坡南洋理工大学博士后研究员。主要从事具身智能与机器人学习研究，相关成果发表于 Nature Machine Intelligence、IJRR、CVPR、ICCV 等国际顶级期刊与会议。担任 NeurIPS、ICML 等国际会议的领域主席，以及 Nature Machine Intelligence、Nature Reviews Computing、RSS 等权威期刊与会议审稿人。
个人主页：https://genli.top 邮箱：genli@hnu.edu.cn
科研团队
长期招收博士后、博士、硕士、本科实习生，欢迎对人工智能与机器人研究充满热情的伙伴加入。
课题组聚焦人工智能与机器人领域的前沿研究，致力于构建“可靠、高效、以人为中心”的具身智能系统。研究方向涵盖具身智能、机器人学习、视觉语言动作模型、世界模型、多模态大模型、高效人工智能及人机交互等。
团队倡导开放、平等的学术氛围，鼓励自由探索与协作共进。与英国、新加坡、美国、韩国等国家的研究团队，以及国内多所高校和企业保持密切合作，支持成员参与国内外学术会议，可推荐优秀者赴海外单位访问交流或深造。
教育与工作经历
2026-至今，湖南大学，人工智能与机器人学院，教授
2025-2026，新加坡南洋理工大学，Research Fellow
2025，上海交通大学 & 上海算法创新研究院，Visiting Scholar
2023-2024，华为伦敦诺亚方舟实验室，Student Researcher
2021-2025，英国爱丁堡大学，机器人与自主系统，博士
2018-2020，韩国成均馆大学，电子计算机工程，硕士
2014-2018，西安电子科技大学，电子信息工程，学士
代表性成果
[1] Tao Lin, Yuxin Du, Jiting Liu, Nuobei Zhu, Yunhe Li, Yuqian Fu, Yinxinyu Chen, Hongyi Cai, Zewei Ye, Bing Cheng, Kai Ye, Yiran Mao, Yilei Zhong, MingKang Dong, Junchi Yan, Gen Li†, Bo Zhao†. "Evo-Depth: A Lightweight Depth-Enhanced Vision-Language-Action Model." Conference on Neural Information Processing Systems (NeurIPS), 2026（机器学习顶级会议，CCF-A）
[2] Bohan Hou*, Gen Li*, Jindou Jia*, Tuo An*, Xinying Guo*, Sicong Leng, Haoran Geng, Yanjie Ze, Tatsuya Harada, Philip Torr, Oier Mees, Marc Pollefeys, Zhuang Liu, Jiajun Wu, Pieter Abbeel, Jitendra Malik, Yilun Du, Jianfei Yang. "World Model for Robot Learning: A Comprehensive Survey." The International Journal of Robotics Research (IJRR), 2026（机器人领域顶级期刊）
[3] Jindou Jia*, Gen Li*, Xiangyu Chen, Tuo An, Yuxuan Hu, Jingliang Li, Xinying Guo, Jianfei Yang. "Action-to-Action Flow Matching." Robotics: Science and Systems (RSS), 2026（机器人领域顶级会议）
[4] Tao Lin, Yilei Zhong, Yuxin Du, Jingjing Zhang, Jiting Liu, Yinxinyu Chen, Encheng Gu, Ziyan Liu, Hongyi Cai, Yanwen Zou, Lixing Zou, Zhaoye Zhou, Gen Li†, Bo Zhao†. "Evo-1: Lightweight Vision-Language-Action Model with Preserved Semantic Alignment." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026（计算机视觉顶级会议，CCF-A）
[5] Gen Li, Bo Zhao, Jianfei Yang, Laura Sevilla-Lara. "Mask2IV: Interaction-Centric Video Generation via Mask Trajectories." AAAI Conference on Artificial Intelligence, 2026（人工智能顶级会议，CCF-A）
[6] Gen Li, Nikolaos Tsagkas, Jifei Song, Ruaridh Mon-Williams, Sethu Vijayakumar, Kun Shao, Laura Sevilla-Lara. "Learning Precise Affordances from Egocentric Videos for Robotic Manipulation." IEEE/CVF International Conference on Computer Vision (ICCV), 2025（计算机视觉顶级会议，CCF-A）
[7] Ruaridh Mon-Williams†, Gen Li†, Ran Long, Wenqian Du, Chris Lucas. "Embodied Large Language Models Enable Robots to Complete Complex Tasks in Unpredictable Environments." Nature Machine Intelligence, 2025（Nature子刊，机器人领域顶级期刊）
[8] Gen Li, Deqing Sun, Laura Sevilla-Lara, Varun Jampani. "One-Shot Open Affordance Learning with Foundation Models." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024（计算机视觉顶级会议，CCF-A）
[9] Gen Li, Varun Jampani, Deqing Sun, Laura Sevilla-Lara. "LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023（计算机视觉顶级会议，CCF-A）
[10] Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, Joongkyu Kim. "Adaptive Prototype Learning and Allocation for Few-Shot Segmentation." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021（计算机视觉顶级会议，CCF-A）
