vrushabh27 Goto Github PK

barriernet

BarrierNet: differentiable Control Barrier Functions for Learning of Safe Robot Control

brax

Massively parallel rigidbody physics simulation on accelerator hardware.

cbf-pointwise-feasibility

"Safety-Critical Control using Optimal-decay Control Barrier Functions with Guaranteed Point-wise Feasibility" by J. Zeng, B. Zhang, Z. Li and K. Sreenath https://arxiv.org/pdf/2103.12375.pdf

crazyswarm2

A Large Quadcopter Swarm

cv-arxiv-daily

🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)

diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

gcbf-pytorch

PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control

gcopter

A General-Purpose Trajectory Optimizer for Multicopters

generalised-shape-expansion-gse

An efficient implementation of the Generalised Shape Expansion (GSE) Algorithm using OMPL

gnn-motion-planning

The official repo for NeurIPS 2021 paper 'Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks'

gnn_tutorial_turinginst

Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute

high-order-do-icbf

Disturbance Observer-based Robust Integral Control Barrier Functions for Nonlinear Systems with High Relative Degree

imitation_mpc

Imitation Based Controller for MPC

koopcore

Koopman Kernels for Learning Dynamical Systems from Trajectory Data

latex_templates

A collection of files that I use for augmenting the LaTeX editing experience with custom commands, environments, etc.

lstm_attitude

motion_planning_vehicles

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

mpc-cbf

Model Predictive Control with discrete-time Control Barrier Functions (MPC-CBF).

multi-agent-motion-planning-with-deadlock-resolution

The Multi Agent Motion Planning with Deadlock Resolution repository is a comprehensive collection of algorithms and methodologies aimed at addressing the critical challenge of deadlock avoidance in multi-agent social navigation scenarios.

multi_agent_path_planning

Python implementation of a bunch of multi-robot path-planning algorithms.

neptune

A trajectory planning framework for multiple robots: paper accepted in IEEE T-RO

nerf-navigation

Code for the Nerf Navigation Paper. Implements a trajectory optimiser and state estimator which use NeRFs as an environment representation

neural-koopman-lyapunov-control

Neural Koopman Lyapunov Control

ompl

The Open Motion Planning Library (OMPL)

optimal_motion_planning_tools

Optimal Motion Generation-tools: motion planning made easy

pathplanning

Common used path planning algorithms with animations.

pipg-demo

Demonstration of the PIPG algorithm for trajectory optimization

planning-and-decision-making

RO47005 Planning & Decision Making. Quadrotor model planner using probabilistic roadmap (PRM) and collision avoidance using Velocity Obstacles

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers