Dual Arm

Dual-arm robotics focuses on developing robots capable of performing complex manipulation tasks using two arms, mimicking human dexterity and efficiency. Current research emphasizes improving grasping capabilities through reinforcement learning, generative models (like diffusion models), and advanced planning algorithms (including those leveraging large language models and directed acyclic graphs) to coordinate complex, multi-step actions. This field is crucial for advancing automation in various sectors, from manufacturing and logistics to healthcare and assistive technologies, by enabling robots to handle a wider range of tasks more effectively and safely than single-arm systems.