Junbo Wang 王俊博
Junbo Wang 王俊博
Student

👋👋👋 Hi, I’m currently a master’s student from Shanghai Jiao Tong University (SJTU), majoring in Computer Science and Technology (CS), supervised by Prof. Cewu Lu.

Avatars
avatar image

By ChatGPT-5 (DALL-E 3).

Prompt: Transfer my uploaded image into a detailed anime aesthetic: expressive eyes, smooth cel-shaded coloring, and clean linework. Emphasize emotion and character presence, with a sense of motion or atmosphere typical of anime scenes, in the style of Studio Ghibli — soft, natural pastel tones, hand-painted textures, lush environmental details, warm and cinematic lighting, and a gentle, nostalgic atmosphere. Square composition, aspect ratio 1:1.

avatar mask image

By Grounded SAM 2.

Prompt: Boy.

By VGGT.

By Grok Imagine.

Prompt: Turn my uploaded image into a detailed anime-aesthetic video, with the boy waving his hand and happily saying, "Hello!". Emphasize emotion and character presence, with a sense of motion or atmosphere typical of anime scenes, in the style of Studio Ghibli — soft, natural pastel tones, hand-painted textures, lush environmental details, warm and cinematic lighting, and a gentle, nostalgic atmosphere.


Education


I enjoy the discovery of science and application of technology, especially in computer science and mathematics.

I am currently pursuing a M. Eng. degree in CS from SJTU. During graduate, my average grade point is 3.97/4.0, ranking 1/61.
Previously, I obtained my B. Eng. degree in CS from SJTU. During undergraduate, my core average grade point is 92.19/100 (or 4.00/4.3), ranking 8/118.
Selected Courses
  • MA-related
    • (MA248) Calculus: 97/100
    • (MA270) Linear Algebra: 94/100
    • (MA119) Probability and Statistics: 94/100
    • (MA238) Discrete Mathematics: 92/100
    • (CS445) Combinatorics: 94/100
  • CS-related
    • (CS7336) Machine Learning: A+
    • (CS7353) Deep Learning: A+
    • (CS7309) Reinforcement Learning: A+
    • (CS7316) Data Mining: A+
    • (CS7355) Autonomous Driving: A
    • (AU335) Computer Vision: A
    • (CS7332) Computer Graphics: A
    • (CS467) Computing Theory: 94/100
    • (CS308) Compilers: 95/100
    • (CS339) Computer Network: 98/100
    • (IS307) Cryptology and Information Security: 96/100
    • (SE353) Program Analysis and Verification: 99/100


Research


My research focuses on robot learning and robotic manipulation, particularly on developing learning frameworks that enable robots to acquire human-like, physics-aware manipulation skills that adapt to diverse real-world constraints. In the long run, I aim to build generalizable and robust robotic systems that act with both intelligence and stability in everyday environments.

LDexMM: Language-Guided Dexterous Multi-Task Manipulation with Reinforcement Learning
Hengxu Yan, Junbo Wang, Hao-Shu Fang, Qiaojun Yu, Cewu Lu
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
ForceMimic: Force-Centric Imitation Learning with Force-Motion Capture System for Contact-Rich Manipulation
Wenhai Liu*, Junbo Wang*, Yiming Wang*, Weiming Wang, Cewu Lu
IEEE International Conference on Robotics and Automation (ICRA), 2025
UniAff: A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language Models
Qiaojun Yu*, Siyuan Huang*, Xibin Yuan, Zhengkai Jiang, Ce Hao, Xin Li, Haonan Chang, Junbo Wang, Liu Liu, Hongsheng Li, Peng Gao, Cewu Lu
IEEE International Conference on Robotics and Automation (ICRA), 2025
RPMArt: Towards Robust Perception and Manipulation for Articulated Objects
Junbo Wang, Wenhai Liu, Qiaojun Yu, Yang You, Liu Liu, Weiming Wang, Cewu Lu
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot
Hao-Shu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Chenxi Wang, Junbo Wang, Haoyi Zhu, Cewu Lu
IEEE International Conference on Robotics and Automation (ICRA), 2024
GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects
Qiaojun Yu, Junbo Wang, Wenhai Liu, Ce Hao, Liu Liu, Lin Shao, Weiming Wang, Cewu Lu
IEEE International Conference on Robotics and Automation (ICRA), 2024
Erdős number: 4


Experiences


Apart from my study and research, I also did internship and visiting elsewhere to gain new perspectives in different cultures.

I visited National University of Singapore LinS Lab about AO-R2S2R: Articulated Object Manipulation within Real-to-Sim-to-Real.
I did research internship in ByteDance AI Lab about SDF2NeRF: Implicit Geometry Prior-Guided Sampling for Indoor Scene Rendering.


Projects


Alongside my academic work, I also enjoy exploring self-driven projects that allow me to be creative and hands-on.

A-PIE: Visual concepts understanding and embodied manipulation for articulated objects (SJTU-CS best undergraduate thesis)
r3kit: Real robot research kit with algos, devices and utils
honors: Curated summaries of AI papers that have received honors on robot learning and computer vision
TrainAlarm: Full stack + IoT + MCU application for alerting railway workers (private for patent)
CLPDetector: Color-shape and shape-color two pipelines based Chinese license plates detector
SimPL: Interpreter for a simplified functional and imperative programming language
NeRFHowTo: Neural Radiance Fields with clean PyTorch re-implementation
RLDemo: DQN with D3QN and DDPG with TD3 PyTorch re-implementation on Atari and MuJoCo
RayTracerHowTo: Handwritten Whitted-style Ray Tracer and Path Tracer with clean C++ implementation
RasterizerHowTo: Handwritten Rasterizer with clean C++ implementation


Hobbies


In my daily life, I have great passions in staying active and exploring new experiences!

🎹 If Only , 人の光

🏝️ Burj Khalifa , Gardens by the Bay , Marina Bay Sands

🕹️ Elden Ring , Minecraft , Terraria , Valheim , It Takes Two , Kingdom Rush , Brotato