Experiments with gradient descent based path planning on differentiable surfaces
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Updated
Mar 17, 2022 - Python
Experiments with gradient descent based path planning on differentiable surfaces
AStar path finding on triangular mesh, generate a nice path.
A simple Dash app to visualize, modify and optimize global paths for autonomous cars.
This approach is used to solve path optimization for off-road terrain by providing a Koopman operator based convex formulation
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Computer vision program using OpenCV to automate and optimise the decoration of hot-cross buns using modular robot arm. Project completed during placement at Inovo Robotics.
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Grid and Graph Search with the A* algorithm (path+cost function) for a drone in an urban environment + Path optimization
Testing optimization for generating optimized paths from waypoints using Bezier curves
A ROS package of a path-planning method based on Bidirectional RRT*, which use the intermidiate points as the global information instead of the full path.
Contains code meant to optimize the route for a tourist visiting the Louvre Museum, such that the satisfaction level is maximised by visiting all/select exhibits in a single working day.
Path planning for autonomous vehicles using constrained iLQR.
Optimization-based real-time path planning for vehicles.
Optimization-based real-time path planning for vehicles.
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