Personal Profile

I am a post-doctor at school of engineering working with Prof. Donglin Wang, where I work on multi-modal learning, vision-and-language navigation and multi-sensor fusion navigation on quadruped robot. I got Ph.D. degree at Harbin Engineering University where I worked with Prof. Wei Wang on anti-disturbance, location and navigation technology of magnetic and inertial integrated system.

Research

My long-term goal is to build a robot navigation ecosystem that brings the underlying hardware system and top decision-making system even closer together. I am interested in using multimodal learning algorithms to make navigational decisions for robots in unknown environments, and feed back the low-level hardware for improving the measurement accuracy. Areas of interest include deep learning for multi-modal navigation decision-making system (such as vision-and-language navigation) and deep learning for multi-sensor integrated navigation system.

Wang T, Wu Z*, Wang D*. Visual Perception Generalization for Visual-and-Language Navigation via Meta-Learning[J]. arXiv preprint arXiv:2012.05446, 2020.

Wu Z, Wang W. INS/magnetometer integrated positioning based on neural network for bridging long-time GPS outages[J]. GPS Solutions, 2019, 23(3): 88.

Wu Z, Wang W. Adaptive Anti-Disturbance Method for Magnetometer and INS Integration in a Road Vehicle[J]. The Journal of Navigation, 2019, 72(6): 1513-1532.

Wu Z, Wang W. Magnetometer and gyroscope calibration method with level rotation[J]. Sensors, 2018, 18(3): 748. Wang W, Wu Z, Zhang H. An adaptive cascaded Kalman filter for two-antenna GPS/MEMS-IMU integration[C]//2018 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 2018: 833-837.