Leveraging C++ for Efficient Motion Planning: RRT Algorithm for Robotic Arms
Talkat CppCon 2024 · on Thursday, 2024-09-19· at 15:50· Spruce 3/4, 6700 North Gaylord Rockies Boulevard·
summary
C++ implementation of an RRT motion planner that reads an OpenCV binary map input, builds a tree of Node objects stored as a vector of node pointers, and extends toward samples by a fixed step distance while checking collisions via 100-point linear interpolation collision checks. Uses goal biasing (biased sampling toward goal) and a configurable sampling cap (demo used up to 5000 samples); worked end-to-end on 2D maps but required careful pointer management and OOP discipline to avoid hard-to-find bugs.
AI-written summary · about
related talks
23mAI.js: Robots with Brains!
29mBridging AI & Robotics: Exploring the LeRobot Library
01h 04mBuilding Bridges: Leveraging C++ and ROS for Simulators, Sensor Data and Algorithms
29mEfficient Path Planning for Search and Rescue Missions Using Neural Networks
01h 07mBehaviorTree.CPP: Task Planning for Robots and Virtual Agents
49mUsing Deep Learning for Perception in Autonomous Systems: A Perspective from Control Theory
40mComputer Vision Using Ruby and libJIT
59mOn Human-robot Interactions via Multimodal Intent Modeling and Reachability-based Safety Assurance
