SenseLabRobo

Our Mission

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.

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Robotic Processor Design

Designing near-zero power, high-efficiency chips purpose-built for robotic perception and control at the edge.

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Full-Stack System Integration

Vertically integrating custom silicon, sensor fusion, and intelligent algorithms into complete robotic platforms.

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Edge Embodied Intelligence

Deploying autonomous perception, navigation, and decision-making directly on resource-constrained robotic hardware.

The Team

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 | 🌐 Faculty Homepage

Dr. Rong Zhao

Lecturer / Former Postdoctoral Researcher

North University of China (Lecturer) & Tsinghua University (Postdoctoral appointment completed)

Research Focus: Robot Navigation
✉️ Email

Dr. Qian Zhang

Team Leader / Postdoctoral Researcher

Ph.D. graduate, Tsinghua SIGS, Tsinghua University

Research Focus: Perception & SLAM

Researchers

Haohua Que

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

Mingkai Liu

Master Student
School of Software & Microelectronics, Peking University
Focus: 3D Reconstruction & Localization

✉️ Email | 🌐 Web

Yunchao Mo

Master Student
College of CS & AI, Southwest Minzu University
Focus: Reinforcement Learning

✉️ Email | 🐙 GitHub

Hui Geng

Master Student
School of Comm. & Info. Eng., Chongqing Univ. of Posts & Telecom.
Focus: Multi-Robot Exploration

✉️ Email | 🐙 GitHub

Chengkui Wang

Master Student
Computer Science & 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 & Electronics, Beijing Institute of Technology
Focus: Robotics

✉️ Email | 🐙 GitHub

Jiajun Sun

Undergraduate
School of Mech. & Elec. Eng., Shenzhen University
Focus: Robotics

✉️ Email | 🐙 GitHub

Shanxu Zhao

Undergraduate
Dept. 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
Dept. of Electronic Engineering, Tsinghua University
Focus: Robotics & Agentic Systems

✉️ Email | 🐙 GitHub

Jiayue Xie

Undergraduate
Electronic Information, Beijing Forestry University

✉️ Email

Yong Yu

Undergraduate
Mathematics & Applied Mathematics, Central South University

✉️ Email

Selected Publications

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

Under Review

SenseSwarm: Swarm Exploration via Neural Structure Estimation with Shared World-Anticipation for Rapid Mapping ICRA Under Review

ASPC: Adaptive Sequence-Parallel Collaborative Inference for Resource-Constrained Multi-Robot Exploration ICRA Under Review

HERO-Explore: Consequence-Aware Collaboration for Heterogeneous Robot Exploration ICRA Under Review

RC-MRE: Benchmarking Resource Robustness in Multi-Robot Exploration ICRA Under Review

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

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

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

2025 / 2026

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

IROS 2026 (Accepted)

SenseExpo robot exploration and map prediction pipeline — System overview from the public SenseExpo preprint.

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

IROS 2026 (Accepted)

ACESplat scene coordinate regression and 3D Gaussian reconstruction pipeline — Pipeline overview from the public paper.

ST-GRL: Spatiotemporal Cognitive Graph Reinforcement Learning for Scalable Multi-Robot Collaborative Exploration

IROS 2026 (Accepted)

ST-GRL energy-aware semantic path planning with two robots — Motivating example from the paper (Fig. 1).

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

MACE localization and rendering pipeline — Pipeline overview from the public paper.

MotiMem: Motion-Aware Approximate Memory for Energy-Efficient Neural Perception in Autonomous Vehicles Best Student Paper Nomination

H. Que, M. Liu, J. Xie, H. Gao, J. Sun, H. Xu, H. Yao, F. Qiao

IJCNN 2026 (Accepted) • WCCI 2026

MotiMem motion-aware memory interface for neural perception — System diagram from the public paper.

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

Device-to-server wireless collaborative inference pipeline — Wireless collaborative inference concept from the paper (Fig. 1).

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

SenseMap observation, prediction, and planning pipeline — Pipeline overview from the public paper.

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

2022

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

OCTOANTS multi-robot mapping system and results — Multi-robot collaboration and mapping results from the paper (Fig. 1).

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

Heterogeneous multi-robot social system architecture — Multi-robot system concept map from the paper (Fig. 1).

2021

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

RaP-Net feature extraction network architecture — Network architecture from the public paper.

2020

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

DXSLAM visual SLAM system framework — System framework from the public paper.

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