©2023
CA, USA
I am a graduate student researcher in FHL Vive Center, leading the OpenARK team in EECS Dept @UC Berkeley, working closely with the director Dr. Allen Y. Yang. My research interests focus on 3D Vision, Human-AI Interaction and Autonomous Robots with a strong emphasis on their integration into Architectural Construction and Urban Accessibility. Prior to this, I gained experience in the AEC industry and obtained my Bachelor of Architecture from Zhejiang University, leading the robotic fabrication lab in Civil-Eng. Dept.
Zixun Huang*, Keling Yao*, Seth Z. Zhao*, Chuanyu Pan*, Tianjian Xu, Weiyu Feng, supervised by Dr. Allen Y. Yang
[github] [arxiv] [bibtex] [dataset] in submission to TPAMI
Are current pose estimation methods robust enough to ignore the distortion and interpolation noise in widely-adopted IPhone's LiDAR measurements? 🤔️Our DTTD-Net introduced Fourier-transform enhanced MLP and fusion-robustifying Transformer into 3D Object Tracking Tasks.
Kuanting Lai*, Zhe Liang*, Zixun Huang*, Peiyi Huang, Yuhong Ha
[video] [animation] [poster] featured in: [archdaily, domus, gooood]
🎉Our work has been featured in the most prestigious architectural media.🎉
🎉We achieved China’s first all carbon-fiber structure designed architecture. Density of the structure is controlled at 18KG per cubic meter and the bearing capacity of 400KG is achieved.
Zhe Guo*, Zixun Huang*, Xuhui Lin*, Kai Xiao*, Sijie Gao*, Ziyue Hu, Xiaoliang Ying, Yitian Lu, You Lyu, Qixin Li, Lihua Zhang, Likai Wei, Hongxin Wang, Zihao Zhang, supervised by Prof. Xiang Wang*
[video] [poster] drawing credit: zczlxl3@ucl.ac.uk
❗We integrated drone tracking (via MoCap) and controlling (via ROS) into Grasshopper3D; Achieved discrete stacking with utilizing a UAV gripping system crafted from Raspberry Pi, PX4 and 3D printed hardware, etc.
Zixun Huang*, Kunshen Huang*, Zee Liang*, Sihan Wang, Weishun Xu, Prof. Raspall Felix
[IASS 2019] [SiGraDi 2020] [poster] [demo installation] [video3] This is a
continuing series of researches on efficient mass customization. * denotes equal contribution. To check other
students' work co-mentored by me and Zee Leong.
❗We developed a rapid 3D clay printing system and hot-wire cuttingsystem using high-torque stepper motors, Arduino, KUKA Robots, etc. 🎉I also enabled non-planar robotic printing on quadric surfaces!!
Zixun Huang, supervised by Dr. Dan Luo
[video] for real-world data exploration.
We achieved 3D printing in the air with the resin solidifying and being molded by gravity drop; parameterized the robotic printing behavior with extrusion speed, motion speed and dwell time, etc. Then we evaluated the capacities of imitation learning and offline reinforcement learning on training an autonomy for the resin shaping with gravity.
Zixun Huang, Prof. Hao Zheng, Hang Gao
[demo video] [poster] in submission to Ubicomp 2024
We are releasing "Urban Lens"!!🎉 This work provides the public a novel way to aware our urban environment in a professional but visible way. We invited over 100 urban designers to collaborate on metrics evaluating!!
Zixun Huang, supervised by Prof. Hao Zheng
[manuscript] [poster] in submission to Cities
We demonstrated that predicting people's travel demand is achievable through the observation of Points of Interest (POI) spatial distribution. 🎉Surprisingly, we found that people's activities at various times of the day are influenced by urban design—an effect that extends across different cities.
Xinwei Zhuang*, Zixun Huang*, Wentao Zeng, supervised by Prof. Luisa Caldas
[github] [ICCVW 2023] [bibtex] [poster]
🎉Our work was accepted at ICCV workshop 2023, CVAAD. We achieved over 100x less computation time on urban-scale building energy estimation with significantly more accurate results.
Xiao Jin*, Zixun Huang*, Qianlong Zhao*, Hang Gao, Hanzhi Zhang, Qingyang Zong, supervised by Prof. Hao Zheng
[video1] [video2] [video3] executable file: [exe, apk]
We developed a modular building information management (BIM) system from 0 to 1; Enabled efficient and scalable structure customization with real-time 3D visualization; Achieved an immersive user experience built on Android using Unreal Engine and Blueprints.
Zixun Huang*, Weiyu Feng*, Yuehui Du*, Yola Wu*, Qianchen Bao
[project page] [github]
🎉We won the MIT RealityHACK 2023, in the track of the Best Use of Spatial Audio.
Thanks to my teammates!!! Thanking Dolby.io and Snapdragon AR for their excellent SDKs.
Erin Fan*, Zixun Huang*, supervised by Dr. Allen Y. Yang
[project page] under construction
This is a minimal prototype for NASA Suits 2024. Welcome to our MDes Open Showcase, we will achieve real-time Mars Rover localization and test user experiences for the LMCC (Local Mission Control Console).
ML Engineering
AR & Andriod Dev
Andriod Dev
Web Dev