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cs.AI2026
Acceptable Misalignment
Maud van Lier, Ludovica Marinucci, Vieri Giuliano Santucci +4
There is a specific challenge designers face in developing autonomous robots capable of open-ended learning. This challenge is how one can develop such systems in an ethically soun…
cs.RO2026
Autonomously Acquiring Robot Manipulation Skills with Language-Driven Quality-Diversity
Émiland Garrabé, Mahdi Khoramshahi, Stéphane Doncieux
Quality-diversity (QD) algorithms have been gaining traction in robot learning, where diverse motion primitive libraries allow robots to adapt zero-shot to constraints at deploymen…