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1–24 of 58 · Most stars

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

  • robotics
  • dynamics
  • analytical-derivatives
  • kinematics

pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.

  • 3d-reconstruction
  • depth-prediction
  • feature-matching
  • global-features

A powerful, innovative and intuitive EDA suite for everyone!

  • eda
  • electronics
  • pcb
  • schematic

100% open-source IoT Platform - Integrate your devices, add intelligence, build custom apps

  • iot-platform
  • iot
  • energy
  • building

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

  • rangenet-lib
  • suma
  • lidar
  • slam

RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.

  • articulated-body-algorithm
  • inverse-dynamics
  • forward-dynamics
  • multi-body-dynamics

Raspberry Pi 5 üzerinde çevrimdışı bilgi arşivi: Wikipedia, haritalar ve hayatta kalma kaynakları kendi Wi-Fi ağı üzerinden sunulur, internet gerekmez. Internet-in-a-Box tabanlıdır.Offline knowledge archive on Raspberry Pi 5: Wikipedia, maps and survival resources served over its own Wi-Fi hotspot, no internet required. Built on Internet-in-a-Box.

piVCCU is a project to install the original Homematic CCU3 firmware inside a virtualized container (lxc) on ARM based single board computers.