Raphael Ribas
Papers
1
Total Citations
632
H-Index
1
About
Raphael Ribas is a leading researcher in robotics and machine learning, with a primary focus on bridging the gap between simulation and real-world manipulation. His most celebrated contribution is the groundbreaking work "Solving Rubik's Cube with a Robot Hand" (2019, 632 citations), which demonstrated for the first time that a dexterous robotic hand could solve a Rubik's Cube entirely through policies trained in simulation. This achievement was made possible by his invention of automatic domain randomization (ADR), a novel algorithm that systematically varies simulation parameters to produce robust, transferable policies. Ribas's work has fundamentally advanced the field of sim-to-real transfer, enabling robots to perform complex manipulation tasks without extensive real-world data collection. Beyond this landmark paper, his research continues to push the boundaries of reinforcement learning and robotic dexterity, with a focus on scalable, data-efficient methods. His contributions have been widely recognized, earning him a reputation as a pioneer in applying deep reinforcement learning to real-world robotics challenges.
Research Focus
Key Achievements
Top Papers
- 1Solving Rubik's Cube with a Robot Hand632 citations · 2019