Flexible Policy Learning for Diverse Robotic Systems and Sensors

This research focuses on enabling policy learning for robots in complex, real-world scenarios. The flexible framework's ability to accommodate diverse systems and sensors is a key contribution to advancing robotic autonomy.

• •Focuses on policy learning for robotics.
• •The framework is designed for diverse robotic systems and sensors.
• •The research is published on ArXiv, signifying pre-print status and potential for future peer review.