Leveraging C++ for Efficient Motion Planning: RRT Algorithm for Robotic Arms - Aditi Pawaskar - 2024

#cpp #cppcon Leveraging C++ for Efficient Motion Planning: RRT Algorithm for Robotic Arms - Aditi Pawaskar - CppCon 2024 Slides: https://github.com/CppCon/CppCon2024/blob/main/Presentations/Monadic_Operations_in_Modern_Cpp.pdf --- Motion planning algorithms play a crucial role in enabling robot arm to navigate complex environments efficiently. They are required to determine a robot's trajectory and optimize its motion to minimize cycle time and maximize throughput. In this talk, we delve into optimizing a robotic arm motion planner using the CHOMP algorithm, highlighting the significance of employing good coding practices and design patterns. Beginning with an overview of motion planning techniques and the rationale behind selecting the CHOMP algorithm for robotic arm manipulation, we scrutinize the initial naive code implementation. Transitioning to modern C++ implementation, we introduce key concepts utilized in the refactor and present code snippets illustrating the transformation from legacy to modern paradigms. Attendees will glean insights into identifying and addressing challenges in legacy code, mastering essential modern C++ concepts for motion planning optimization, and quantifying the tangible benefits through performance metric comparisons. It will further encourage them to integrate design patterns into robotics programs. --- Aditi Pawaskar is graduating from Worcester Polytechnic Institute, where she is pursuing her Masters in Robotics. She has her masters thesis on Manipulation of objects using robot arms and soft robotic hands. https://www.youtube.com/watch?v=CEY4qRLcLmI

Видео Leveraging C++ for Efficient Motion Planning: RRT Algorithm for Robotic Arms - Aditi Pawaskar - 2024 автора CppVault