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RSS 2021: Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments
[ICCV 2019] Monocular depth estimation from a single image
Python sample codes for robotics algorithms.
MIT 16.S498: Risk Aware and Robust Nonlinear Planning (rarnop) by Ashkan Jasour
Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
For tracking the relationship between group membership changes across versions.
Codes for designing Neural Stochastic Contraction Metrics (NSCMs)
The course text for MIT 6.832 (and 6.832x on edX)
Clone of Ian M. Mitchell's ToolboxLS repository. (https://bitbucket.org/ian_mitchell/toolboxls)
Code exercises for the SLAM course in 'Computer Vision, LiDAR processing, and Sensor Fusion for Autonomous Driving' lecture series
Aggressive trajectory tracking using mavros for PX4 enabled vehicles
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
Optimizing Dynamic Programming-Based Algorithms
This repository is a resource center for hackathon participants! Check out the readme file to find getting started resources and inspiration for your next hack!
OpenCV Python Computer Vision Examples used for Teaching
High-performance interior-point-method QP and QCQP solvers
Python implementation of a bunch of multi-robot path-planning algorithms.
This is my MPPT project I am doing for a solar boat racing application called the DieBieMPPT
Multicopter Design and Control Experiments based on MATLAB and PixHawk
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.