Masafumi Endo's starred repositories
dubins_path_planning
Path planning using Hybrid A*/RRT + Dubins Path (as final shot).
navigation_planner_2d
2D Robot Navigation Planner with Python
mppi_playground
Model Predictive Path Integral Control (MPPI) with PyTorch
proj-svg_mppi
[ICRA2024] Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles
Dilation-Pytorch-Semantic-Segmentation
A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
yolact_edge
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
deep-contact-estimator
Contact estimation for quadruped robots.
Predictive-Uncertainty-Estimation-using-Deep-Ensemble
This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
pytorch_mppi
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
log-MPPI_ros
ROS package for autonomous navigation of AGVs in unknown cluttered environments using MPPI and log-MPPI
terrain_benchmark
terrain-robustness benchmark for legged locomotion
GranularGym
High performance simulation for robotic tasks with granular materials
mppi_numba
A GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.
neural-astar
Official implementation of "Path Planning using Neural A* Search" (ICML-21)
kinodynamic-motion-planning-benchmark
This repository aims to compare different motion planners for dynamical systems, namely search-based, sampling-based, and optimization-based
Dstar-lite-pathplanner
Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"