Alternatives and similar repositories for DR_Safe_Navigation

Users that are interested in DR_Safe_Navigation are comparing it to the libraries listed below

• ntnu-arl / colpred_nmpc
  This repository contains the software and data for the ICRA2023 submitted article "NMPC for Deep Neural Network-Based Collision Avoidance…
  ☆26Updated last year
• RIVeR-Lab / Stochastic-MPPI
  Adaptive control for skid-steer robots using GP-enhanced MPPI for robust navigation and obstacle avoidance on diverse terrains.
  ☆43Updated 3 weeks ago
• tkkim-robot / visibility_rrt
  The Visibility-Aware RRT* implementation for safety-critical navigation with perception-limited robots.
  ☆55Updated 7 months ago
• tkkim-robot / smooth-mppi-pytorch
  A pytorch implementation of Smooth Model Predictive Path Integral control (SMPPI)
  ☆15Updated last year
• tkkim-robot / online_adaptive_cbf
  Implementation of the Online Adaptive CBF for safety-critical navigation for input constrained systems.
  ☆50Updated this week
• jonarriza96 / corrgen
  A differentiable collision-free corridor generator.
  ☆63Updated 11 months ago
• dbenders1 / hmpc
  Reference implementation of the embedded HMPC T-RO paper
  ☆21Updated 5 months ago
• jonarriza96 / pydecomp
  A Python based implementation for fast convex decomposition of obstacle-free spaces.
  ☆30Updated 11 months ago
• i-ASL / BiC-MPPI
  BiC-MPPI: Goal-Pursuing, Sampling-Based Bidirectional Rollout Clustering Path Integral for Trajectory Optimization
  ☆18Updated last year
• mit-acl / dynus
  ☆54Updated 3 months ago
• hubernikus / fast_obstacle_avoidance
  Dynamic but Fast Obstacle Avoidance
  ☆38Updated last year
• MurpheyLab / brne
  (IJRR) Mixed Strategy Nash Equilibrium for Crowd Navigation
  ☆35Updated 11 months ago
• smidmatej / mpc_quad_ros
  Model Predictive Controller for a quadcopter model using online learning with recursive Gaussian process regression in ROS-Gazebo
  ☆24Updated last year
• Jaeyoung-Lim / px4-mpc
  MPC implementation using acados integrated with with PX4 on ROS2
  ☆24Updated 8 months ago
• kyleYehh / kino_sampling_with_regional_opti
  ☆14Updated 3 years ago
• RIVeR-Lab / tentabot
  Tentabot: Navigation Framework for Mobile Robots by Evaluating Motion Primitives (Tentacles)
  ☆58Updated 2 months ago
• tud-amr / guidance_planner
  A topology aware sampling-based global planner for dynamic 2D environments
  ☆63Updated 10 months ago
• ethz-asl / cvae_exploration_planning
  Learning informed sampling distributions and information gains for efficient exploration planning.
  ☆53Updated 3 years ago
• sepsamavi / safe-interactive-crowdnav
  Code base for SICNav T-RO paper and SICNav-Diffusion RA-L paper
  ☆71Updated 4 months ago
• RonaldTao / DiffTune-MPC
  ☆15Updated 11 months ago
• hocherie / 2d_grid_playground
  2D Grid Environment with common utils (raytracing) and quadrotor dynamics. With Exponential Control Barrier Functions
  ☆12Updated 5 years ago
• muellerlab / xadapt_ctrl
  Project Code for the paper "A Learning-based Quadcopter Controller with Extreme Adaptation"
  ☆68Updated 5 months ago
• MC00614 / mppi_ipddp_cpp
  C++ Implementation of MPPI-IPDDP (Model Predictive Path Integral - Interior Point Differential Dynamic Programming) and Testing with MPPI…
  ☆16Updated last year
• MarcoPenne / AMR_MPC-CBF
  ☆31Updated 4 years ago
• TIB-K330 / drl_planner
  Sample-efficient learning-based dynamic environment navigation with transferring experience from optimization-based planner
  ☆15Updated 5 months ago
• LeeLinJun / mpc-mpnet-py
  ☆57Updated 4 years ago
• smoggy-P / gym-Drone2D-ActivePerception
  gym environment for drone 2D active perception in dynamic environment
  ☆14Updated 2 years ago
• James-R-Han / DR-MPC
  ☆30Updated last month
• EPVelasco / acados_casadi_ml_Jetson
  This docker has Acados, Casadi, neural mpc and ROS Noetic for NVIDIA Jetson. It has been tested on a Jetson Nano and Jetson Orin NX
  ☆13Updated 2 years ago
• KumarRobotics / kr_opt_sfc
  Implementation for "Towards Optimizing a Convex Cover of Collision-Free Space for Trajectory Generation"
  ☆33Updated 3 months ago