⚡️ SenseLabRobo ⚡️

SenseLabRobo was founded with a clear conviction: the future of robotics lies in the vertical integration of processors and systems. We don't chase breadth — we pursue depth. By building complete technical solutions from custom robotic chips to full-stack intelligent systems, we solve specific, real-world problems end-to-end. This is our Promethean logic — forging every link in the chain, from silicon to autonomy.

Driven by curiosity, united by code. We are a diverse group of researchers.

Dr. Fei Qiao Principal Investigator / Associate Professor Department of Electronic Engineering, Tsinghua University 🧠 Research Lead: Edge Embodied Intelligence, Flexible Wearable Device，Near-zero Power Chips，High Energy Efficiency Intelligence System ✉️ Email Contact | 🌐 Faculty Homepage

Dr. Rong Zhao Postdoctoral Researcher / Lecturer Tsinghua University (Postdoc) & North University of China (Lecturer) 🧠 Research Focus: Robot Navigation ✉️ Email Contact

Qian Zhang (Leader) Ph.D. Candidate Tsinghua SIGS, Tsinghua University Focus: Perception & SLAM ✉️ Email | 🌐 Web

Haohua Que (Collaborator) Ph.D. Student College of Engineering, University of Georgia Focus: Robotic Control ✉️ Email | 🌐 Web

Haojia Gao Master Student Tsinghua SIGS, Tsinghua University Focus: Embodied Intelligence ✉️ Email | 🌐 Web

Weihao Shan Master Student Department of E.E., Tsinghua University Focus: Robotic Chips Design ✉️ Email | 🌐 Web

Mingkai Liu Master Student School of Software & Microelectronics, Peking University Focus: 3D Reconstruction & Localization ✉️ Email | 🌐 Web	Yunchao Mo Master Student College of Computer Science and Artificial Intelligence, Southwest Minzu University Focus: Reinforcement Learning ✉️ Email | 🐙 GitHub	Hui Geng Master Student School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications Focus: Multi-Robot Exploration ✉️ Email | 🐙 GitHub	Chengkui Wang Master Student Computer Science and Technology, Tiangong University Focus: 3D Reconstruction & Autonomous Driving Simulation ✉️ Email | 🐙 GitHub
Hongyi Xu Master Student Central Saint Martins, University of the Arts London Focus: Robotic Structural Design & Industrial Design ✉️ Email | 🌐 Web	Chaojie Chen Master Student School of Automation, Guangdong University of Technology Focus: Embedded Software & Hardware ✉️ Email	Chunhong Yuan Master Student Faculty of Control Systems and Robotics, ITMO University St. Petersburg, 197101, Russia Focus: Machine Learning Applications in Robotics, Intelligent Control Systems, and Interdisciplinary AI ✉️ Email | 🌐 Web

Yifan Zhu Undergraduate Xiuzhong College, Tsinghua University ✉️ Email | 🐙 GitHub	Yuyang Song Undergraduate Information and Electronics, Beijing Institute of Technology Focus: Robotics ✉️ Email | 🐙 GitHub	Jiajun Sun Undergraduate School of Mechanical and Electrical Engineering, Shenzhen University Focus: Robotics ✉️ Email | 🐙 GitHub	Shanxu Zhao Undergraduate Department of Electronic Engineering, Tsinghua University ✉️ Email | 🐙 GitHub
Yannong Wen Undergraduate (Senior) Fan Gongxiu Honors College, Beijing University of Technology ✉️ Email | 🐙 GitHub	Hoi Ian Au Undergraduate Department of Electronic Engineering, Tsinghua University Focus: Robotics & Agentic Systems ✉️ Email | 🐙 GitHub	Jiayue Xie Undergraduate Electronic Information, Beijing Forestry University ✉️ Email	Hang Zhang Graduate Student School of Intelligent Manufacturing, Jiangnan University ✉️ Email | 🐙 GitHub
Yong Yu Undergraduate Mathematics and Applied Mathematics, Central South University ✉️ Email

Our research has been published in top-tier robotics and AI venues.

• DAC-MACE: Dynamic Attention-driven Context Mixture-of-Experts for Large-Scale Visual Relocalization Under Review

• SenseExpo: Spatial Exploration and Navigation via Scene Estimation from Expeditious Predictive Updates Under Review

• GEQ: Geometry-Guided Efficient Quantization for Energy-Aware Automotive Perception Under Review

• ACESplat: Accelerated 3D Gaussian Scene Regression via RGB and Poses Only Under Review

• Zero-Shot Semantics-enhanced Autonomous Exploration in Complex Unknown Environments Under Review

• ST-GRL: Spatiotemporal Cognitive Graph Reinforcement Learning for Multi-Robot Collaborative Exploration Under Review

• Kinematic-Aware Improved Hippo Optimization with Laplacian Ironing for Swarm-based Path Planning in Cluttered Environments Under Review

• MACE: Mixture-of-Experts Accelerated Coordinate Encoding for Large-Scale Scene Localization and Rendering 🏆 Best Paper, IROS 2025 Workshop M. Liu, D. Fan, H. Que, H. Gao, X. Liu, S. Peng, M. Lin, S. Gu, R. Ye, W. Qiu, H. Yao, R. Zhang, X. Huang ICRA 2026 (Accepted) · arXiv:2510.14251

• MotiMem: Motion-Aware Approximate Memory for Energy-Efficient Neural Perception in Autonomous Vehicles H. Que, M. Liu, J. Xie, H. Gao, J. Sun, H. Xu, H. Yao, F. Qiao IJCNN 2026 (Accepted) · WCCI 2026

• Wireless Collaborative Inference Acceleration Based on Distillation for Weed Detection and Instance Segmentation R. Li, Y. Mo, R. Zhao, H. Gao, H. Que, L. Mu IROS 2025 · pp. 1847-1854 · IEEE

• Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration H. Gao, H. Que, K. Li, W. Shan, M. Liu, R. Zhao, L. Mu, X. Yang, Q. Wei, F. Qiao IJCNN 2025 · arXiv:2504.04061

• SenseExpo: Lightweight Neural Networks for Efficient Autonomous Exploration and Scene Prediction H. Que, H. Gao, M. Liu, H. Au, H. Yao, F. Qiao IROS 2025 Workshop on Edge AI for Robotics

• OCTOANTS: A Heterogeneous Lightweight Intelligent Multi-Robot Collaboration System with Resource-Constrained IoT Devices Q. Zhang, R. Quan, S. Qimuge, P. Xia, J. Wang, X. Zan, F. Wang, C. Chen, Q. Wei, H. Zhao, X. Liu, F. Qiao IROS 2022 · pp. 2556-2563 · IEEE

• On the Way from Lightweight to Powerful Intelligence: A Heterogeneous Multi-Robot Social System with IoT Devices 📊 Cited by 2 Q. Zhang, R. Quan, S. Qimuge, R. Wei, X. Zan, F. Wang, C. Chen, Q. Wei, X. Liu, F. Qiao CASE 2022 · pp. 842-848 · IEEE

• RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization 📊 Cited by 8 D. Li, J. Miao, X. Shi, Y. Tian, Q. Long, T. Cai, P. Guo, H. Yu, W. Yang, H. Yue, Q. Wei, F. Qiao IROS 2021 · pp. 1331-1338 · IEEE

• DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features 📊 Cited by 193 D. Li, X. Shi, Q. Long, S. Liu, W. Yang, F. Wang, Q. Wei, F. Qiao IROS 2020 · pp. 4958-4965 · IEEE

• Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM 📊 Cited by 226 X. Shi, D. Li, P. Zhao, Q. Tian, Y. Tian, Q. Long, C. Zhu, J. Song, F. Qiao, L. Song, Y. Guo, Z. Wang, Y. Zhang, B. Qin, W. Yang, F. Wang, R.H.M. Chan, Q. She ICRA 2020 · pp. 3139-3145 · IEEE

• A DenseNet Feature-Based Loop Closure Method for Visual SLAM System C. Yu, Z. Liu, X. Liu, F. Qiao, Y. Wang, F. Xie, Q. Wei, Y. Yang ROBIO 2019 · pp. 258-265 · IEEE

• DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments 📊 Cited by 1379 C. Yu, Z. Liu, X. Liu, F. Xie, Y. Yang, Q. Wei, Q. Fei IROS 2018 · pp. 1168-1174 · IEEE

• Multi-Robot Coordination for High-Speed Pick-and-Place Tasks C. Yu, X. Liu, F. Qiao, F. Xie ROBIO 2017 · pp. 1743-1750 · IEEE

We leverage cutting-edge tools to power our research.