In the field of robotics, task and motion planning (TAMP) are crucial for enabling autonomous operation. A new survey paper examines optimization-based TAMP, highlighting:

• The integration of high-level task planning with low-level motion planning
• The focus on hybrid optimization approaches for handling dynamic tasks and interactions
• The review of solution strategies and their structures for efficient TAMP This survey underscores the importance of combining traditional algorithms with the latest learning-based techniques to solve complex, real-world robotics challenges more effectively. The study also suggests promising research directions that could further advance the capabilities of autonomous robotic systems. Read More