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Tao Kong


ByteDance Research

Email: kongtao@bytedance.com

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Intro

  • I am a Director of Robotics Research, ByteDance Research.
  • At ByteDance Research, I spearhead research initiatives aimed at developing next - generation robot technologies and systems. My research lies in the field of robot learning and computer vision, with a particular emphasis on devising scalable, AI powered algorithms and systems that enable robots to perceive and act in the real world. I received my Ph.D. from Tsinghua University, advised by Fuchun Sun. I visited the University of Pennsylvania, working with Jianbo Shi.
  • We are recruiting interns / full-time researchers and engineers in robotics. If you are interested in these positions, please drop me an email.

Selected Projects (14k+ Citations)

  • GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation
    Robotics Research Team, ByteDance Research
    Tech report, 2024
    [Project][Paper][Video][News][GR-1][GR-MG][Visual-Force Learning][Findings]
  • Vision-Language Foundation Models as Effective Robot Imitators
    Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong
    Providing an Open-Source Robotics Learning Framework Based on VLM that Enables the Learning of a Wide Variety of Robot Skills.
    ICLR, 2024
    [Project][Paper][Code][News][RoboVLMs][VLM study]
  • Navigating to Objects in Unseen Environments by Distance Prediction
    Minzhao Zhu, Binglei Zhao, Tao Kong
    Our base method to win the Habitat ObjectNav Challenge 2022.
    IROS, 2022 (Oral)
    [Paper][News][Active Perception]
  • iBOT: Image BERT Pre-Training with Online Tokenizer
    Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan Yuille and Tao Kong
    Among the Most Influential ICLR Papers in Google Scholar Metrics 2023
    ICLR, 2022
    [Paper][Code][News][dBOT][TWIST]
  • SOLO: Segmenting Objects by Locations
    Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang and Lei Li
    Among the Most Influential ECCV Papers in Google Scholar Metrics 2022/2023
    ECCV, 2020
    [Project][Paper][SOLOv2][Final][Code]
  • FoveaBox: Beyond Anchor-based Object Detector
    Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Lei Li, Jianbo Shi
    ESI Highly Cited Paper (Top 1%).
    Among the Most Influential TIP Papers in Google Scholar Metrics 2023
    TIP, 2020
    [Project][Paper][Code][Loss][HyperNet]

Honors & Awards

  • IROS 2024 New Generation Star Program
  • ICRA 2024 Co-manipulation Workshop Best Paper Finalists
  • WAIC-Yunfan Award 2024
  • CAA First Prize of the Natural Science Award 2023
  • Habitat ObjectNav Challenge Winner Award 2022
  • CAAI Excellent Doctoral Dissertation Nomination Award, 2020
  • IROS Robotic Grasping and Manipulation Competition Winner Award 2016
  • The CCF Outstanding Undergraduate Award, 2013
  • University Young Science Award, 2013
  • National Scholarship, 2012/2013

Last update: January, 2025