  Franka Emika robots have gained significant popularity in research and
education due to their exceptional versatility and advanced capabilities. This
work introduces panda-py - a Python interface and framework designed to empower
Franka Emika robotics with accessible and efficient programming. The panda-py
interface enhances the usability of Franka Emika robots, enabling researchers
and educators to interact with them more effectively. By leveraging Python's
simplicity and readability, users can quickly grasp the necessary programming
concepts for robot control and manipulation. Moreover, integrating panda-py
with other widely used Python packages in domains such as computer vision and
machine learning amplifies the robot's capabilities. Researchers can seamlessly
leverage the vast ecosystem of Python libraries, thereby enabling advanced
perception, decision-making, and control functionalities. This compatibility
facilitates the efficient development of sophisticated robotic applications,
integrating state-of-the-art techniques from diverse domains without the added
complexity of ROS.
