B. Balaguer
Papers
2
Total Citations
26
H-Index
2
About
B. Balaguer is a researcher whose work bridges the critical gap between simulated robotics and real-world application, with a particular focus on the challenging domain of deformable object manipulation. Her key research areas include robotic simulation-to-reality transfer, imitation learning, and reinforcement learning for complex manipulation tasks. Her most cited work, "From Simulation to Real Robots with Predictable Results: Methods and Examples" (2009, 20 citations), provides foundational methodologies for ensuring that behaviors developed in simulation transfer reliably to physical robots—a persistent challenge in robotics. In another notable contribution, "Combining imitation and reinforcement learning to fold deformable planar objects" (2011, 6 citations), Balaguer tackled the difficult problem of robotic manipulation of non-rigid materials, specifically addressing the task of folding cloth-like objects using cooperative dual-arm manipulation. This work was pioneering in moving beyond the field's traditional focus on grasping rigid objects with single manipulators, highlighting the necessity for service robots to handle deformable items. Her research has helped lay the groundwork for more versatile, perceptive robotic systems capable of operating in unstructured human environments.
Research Focus
Key Achievements
Top Papers
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