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Motion Planning C++ programming

Location:
Pittsburgh, PA
Posted:
April 08, 2020

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Resume:

WEI DU

Homepage: https://ddwwee.com Email: adcp2f@r.postjobfree.com Tel: 412-***-****

EDUCATION AND ACADEMIC POSITION

Carnegie Mellon University (CMU) 05/2019 - Present

- Research Associate at the Robotics Institute

Carnegie Mellon University (CMU) 05/2019

- Master of Science in Mechanical Engineering (GPA: 3:89=4:0) Harbin Institute of Technology (HIT) 06/2017

- Bachelor of Engineering in Mechanical Design, Manufacturing and Automation (GPA: 3:83=4:00) RESEARCH EXPERIENCE

MHI Project – Search-based Planning Lab (CMU & Mitsubishi Heavy Industries) 01/2020 - Present

- Research on Multi-UAV surveillance and deconfliction problem.

- Applied Multi-Resolution A* algorithm on UAV for large area coverage tasks. Multi-Resolution A* algorithm – Search-based Planning Lab (CMU) 06/2019 - Present

- Researched on executing multiple searches simultaneously to explore search spaces with different resolutions.

- Exploited different scheduling policies such as DTS to speed up the search.

- Implemented MRA* on PR2 robot with significant improved planning performance. Walker Project – Search-based Planning Lab (CMU & UBTech Inc.) 04/2019 - Present

- Applied ARA* algorithm on Walker robot for manipulation tasks on conveyor.

- Constructed perception-planning-grasp pipeline for grasping tasks, e.g., grasp a box from the conveyor. Cruzr Project – Search-based Planning Lab (CMU & UBTech Inc.) 10/2018 - 04/2019

- Customized SLAM algorithms for Cruzr robot to assist its indoor navigation.

- Constructed a state machine to coordinate planning and SLAM.

- Constructed local controllers to execute plans returned from the planner. Planning Using Soft Duplicate Detection – Search-based Planning Lab (CMU) 12/2017 - 02/2019

- Explored search-based planning approaches in continuous state space with soft duplicate detection scheme.

- Implemented decision trees in prioritizing states and map pattern recognition. COURSE PROJECTS (CMU)

Power plant Substation-to-feeder Path Prediction – Bayesian Machine Learning 02/2019 - 05/2019

- Collaborated with Kevala company on predicting feeder-path and outperformed the peer team at Facebook.

- Implemented CNNs to predict the endpoints of power lines with accuracy 92%.

- Employed motion planning algorithms in generating the substation-to-feeder paths. Trajectory Optimization for Fixed-wing Airplane – Egineering Optimization 02/2019 - 05/2019

- Constructed a complex optimization model for NASA’s X 57 Electric Research Plane.

- Applied Differential Dynamic Programming algorithm to solve optimization problem.

- Modeled this problem as a graph search problem and solved this problem with respect to this perspective. Offline Hand-written Chinese Characters Recognition – Pattern Recognition Theory 09/2018 - 12/2018

- Exploited CNNs in recognizing hand-written Chinese characters with accuracy 98%.

- Implemented decision-trees, SVM as baselines against CNNs in recognizing hand-written characters. PUBLICATIONS

Wei Du, Fahad Islam and Maxim Likhachev. Multi-Resolution A*. Proceedings of the International Symposium on Combinato- rial Search (SoCS), 2020.

Wei Du, Sung K. Kim, Oren Salzman and Maxim Likhachev. Escaping Local Minima in Search-Based Planning using Soft Du- plicate Detection, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 RELATED COURSEWORKS

Datastructures and Algorithms for Engineers; Java for Application Programmers; Robot Localization and Mapping; Planning Techniques for Robotics; Pattern Recognition Theory; Bayesian Machine Learning for Scientists and Engineers; SKILLS

- Programming Language: C/C++, Java, Python, MATLAB;

- Software: ROS, OMPL, SMPL, SBPL, AutoCAD, Solidworks, ADAMS



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