I do expect this to have a "novelty edge" over human opponents - which can be closed with practice, on the human end.
And, like many AIs, it can have "jagged capability" gaps, with inhuman failure modes living in them - which humans can learn to exploit, but the robot wouldn't adapt to their exploitation because it doesn't learn continuously. Happened with various types of ML AIs designed to fight humans.
Only if you assume the AI can't improve. Otherwise, AI has a fundamental edge over humans in that they don't get old and die, and can be copied perfectly without an expensive retraining period
Oh, they can. They just need a human touch to actually improve.
For now. It's a work in progress.
Chess players learned to exploit chess computers’ weaknesses in the beginning too, but they can’t any longer. This version of the robot might not learn continuously, but the next will be better.
I believe there are still some echoes of the concept. Even top engines will play certain grandmaster draw lines unless told more or less explicitly not to. So if you were playing a match against Stockfish you'd want to play the Berlin draw as White every time, for example.
But chess is a turn-based game where there's no deception (in the sense that both players can see all legal moves for both themselves and their opposition at all times), whereas in table tennis, it's in real time, it's fast as hell, the table is small, and the ball can have 2 or 3 different spin types from the same arm/hand/wrist movement , and can land in a number of different spots.