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Projects

Developed a soft robot with a modular design that mimics the tissue structure of living organisms and is capable of moving in a simulated environment. Built a customized physics engine and apply an evolutionary algorithm to evolve the robot's movements.

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Python | Open3d | Google Cloud Platform

robot_pic1.png

The PyBullet program is used to simulate a robot with four legs. Simple walking movements are created and then evolved to increase speed. Finally, a closed-loop gait is developed to enable the robot to adjust automatically.

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Python | PyBullet | Hardware | PyTorch | Gait Optimization

iso robot.png

Made a bipedal robot from scratch. The process includes sketching, CAD design, 3D printing, assembly, components testing, single-leg testing, walking locomotion, and gait optimization.

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CAD | 3D Printing | Linux | C | Python | PyBullet

robot1.jpg

A deep-learning approach is used to detect vehicles in LiDAR data based on a birds-eye view perspective of the 3D point cloud. Also, a series of performance measures are used to evaluate the performance of the detection approach. 

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Range Image | Point Cloud | Bird's Eye View | Python

udacity_senserfusion_mid-term_pcl2.png

Created a route planner that plots a path between two points on a map using real map data from the OpenStreeMap project

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A* Search | C++

c++_fundation_project_example_path1.png

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Countryside Road
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