Robot Model

Robot modeling focuses on creating accurate representations of robots for simulation, control, and planning purposes, ultimately aiming to improve robot performance and autonomy. Current research emphasizes developing robust models adaptable to diverse environments and tasks, incorporating techniques like neural ordinary differential equations for soft robots, data-driven error models for improved model predictive control, and multi-modal approaches integrating various sensor inputs. These advancements are crucial for enabling robots to operate reliably in complex, real-world scenarios, impacting fields ranging from assistive robotics to industrial automation.