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About

Jorge Aldaco is a leading researcher in robot learning and teleoperation, with a focus on developing low-cost, high-performance hardware to expand the scale and dexterity of robotic manipulation. His most notable contribution is ALOHA 2, an enhanced, affordable bimanual teleoperation system that improves upon its predecessor by offering greater robustness, ease of use, and data collection efficiency. This work directly addresses critical bottlenecks in robot learning—namely, the high cost and limited durability of existing hardware—enabling researchers to gather diverse, high-quality demonstration datasets for training advanced manipulation policies. Though his highly cited paper on ALOHA 2 was published in 2024 and has already garnered 8 citations, its impact is rapidly growing as the robotics community adopts the platform for bimanual tasks. Aldaco’s contributions are pivotal for democratizing access to dexterous teleoperation, accelerating progress in imitation learning and autonomous manipulation. His work stands out for its practical, open-source approach, making cutting-edge research accessible to labs worldwide.