I’m a PhD student in the University of Maryland(UMD), College Park. I’m working in the GAMMA lab and supervised by Dr. Dinesh Manocha. My focusing area is robotics and I’m interested in Navigation and Mapping.
Education
- Ph.D in Computer Science, University of Maryland, College Park, 2024 (expected)
- M.E. in Robotics, University of Maryland, College Park, 2020
Review experience
- 2023 ICRA: 2 papers
- 2022-2023 IROS: 4 papers
- 2022-2023 RA-L: 8 papers
Teaching experience
- 2021 CMSC756 Robotics
Work experience
- 2021-2021: Teaching Assistant
- Computer Science, University of Maryland, College Park
- I was the only TA in the course. The tasks includes:
- Give one lecture about mapping algorithms
- Prepare lecture materials, exams and homeworks
- Grading
- 2020-2021: Advanced Engineer
- Watermirror Inc, Shenzhen China
- Accomplished:
- mapping and positioning modules: LeGO-LOAM, ROS-Cartographer and ROS-amcl, NDT based positioning algorithm;
- multiple path and motion planning modules: A, RRT, reinforcement learning motion planning modules, and etc;
- control modules: MPC and PID;
- 2016-2017: Engineer
- CleverSys Inc, Reston VA
- Design equipments for research of animal behavior analysis. My work includes:
- Embedded system development;
- software and hardware design;
Publications
Densecavoid: Real-time navigation in dense crowds using anticipatory behaviors
Liang, J.*, Sathyamoorthy, A.J.*, Patel, U., Guan, T., Chandra, R. and Manocha, D., 2020, May. Densecavoid: Real-time navigation in dense crowds using anticipatory behaviors. In 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 11345-11352). IEEE.
Crowd-Steer: Realtime Smooth and Collision-Free Robot Navigation in Densely Crowded Scenarios Trained using High-Fidelity Simulation
Liang, J., Patel, U., Sathyamoorthy, A.J. and Manocha, D., 2021, January. Crowd-steer: Realtime smooth and collision-free robot navigation in densely crowded scenarios trained using high-fidelity simulation. In Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence (pp. 4221-4228).
Autonomous social distancing in urban environments using a quadruped robot
Chen, Z., Fan, T., Zhao, X., Liang, J., Shen, C., Chen, H., Manocha, D., Pan, J. and Zhang, W., 2021. Autonomous social distancing in urban environments using a quadruped robot. IEEE Access, 9, pp.8392-8403.
OF-VO: efficient navigation among pedestrians using commodity sensors
Liang, J., Qiao, Y.L., Guan, T. and Manocha, D., 2021. OF-VO: efficient navigation among pedestrians using commodity sensors. IEEE Robotics and Automation Letters, 6(4), pp.6148-6155.
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees
Roth, A.M., Liang, J. and Manocha, D., 2021, September. XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 2053-2060). IEEE.
Image-Goal Navigation in Complex Environments via Modular Learning
Wu, Q., Wang, J., Liang, J., Gong, X. and Manocha, D., 2022. Image-Goal Navigation in Complex Environments via Modular Learning. IEEE Robotics and Automation Letters.