Robotics and automation algorithms for industrial vision and motion planning
Speedbot is a small robotics engineering firm in Changsha building motion planning, robotic vision, and grasping algorithms for industrial automation. The tech stack reveals a classic robotics blend—Gazebo, MoveIt, OpenRAVE for simulation and path planning, paired with TensorFlow, PyTorch, and OpenCV for computer vision. The 25-person engineering team (midweight seniority) is heavily weighted toward algorithm development; concurrent projects span 3D vision, RGBD point clouds, motion planning, and end-effector control, suggesting a systems-level robotics platform rather than single-product focus. Pain points around stereo measurement accuracy and non-standard system integration indicate customers are integrating into heterogeneous factory environments.
Notable leadership hires: Algorithm Team Lead, Finance Director, Vision Algorithm Lead
Speedbot develops motion planning, computer vision, and robotic control algorithms for industrial automation customers in China. The company operates primarily through engineering-led development, with active projects covering robot vision (2D/3D detection, RGBD processing), grasping algorithms, motion planning simulation and deployment, and visual measurement systems. Customers appear to span custom automation integrators and smart-factory operators requiring end-to-end algorithmic solutions rather than off-the-shelf hardware. The organization is structured as a small, engineering-concentrated team headquartered in Changsha, Hunan Province.
Gazebo, MoveIt, and OpenRAVE for motion planning validation and 3D simulation. The stack also includes Caffe, TensorFlow, and PyTorch for algorithm development.
Core languages: C++, Python. Robotics: Gazebo, MoveIt, OpenRAVE. Vision: OpenCV, TensorFlow, PyTorch, Caffe. Graphics: OpenGL, DirectX, Unity. Infrastructure: Linux, MySQL, gRPC, CMake, Git.
25-person engineering organization split between algorithm development (vision, motion planning, grasping) and integration projects. Current projects include RGBD point cloud processing, robotic grasping, stereo vision accuracy, and non-standard factory automation system integration.
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