Max Robotics — Global Service Robot Directory + US Certification

About

Benjamin Balaguer’s research sits at the intersection of robotic manipulation, multi-robot systems, and autonomous navigation, with a particular focus on deformable objects and cooperative control. His most influential work, “Combining imitation and reinforcement learning to fold deformable planar objects” (64 citations), pioneered a hybrid learning approach that enables dual-arm robots to handle non-rigid materials like cloth and towels—a critical capability for service robotics. This work established foundational methods for bimanual manipulation of deformable objects, further extended in his motion planning algorithms for cooperative manipulators. Balaguer also made significant contributions to urban search and rescue robotics, developing rigorous map evaluation methodologies for the RoboCup Rescue Virtual Robots competition (58 citations). His work on WiFi-based localization for heterogeneous robot teams (14 citations) addressed the practical challenge of mapping unknown environments without GPS, enabling collaborative situational awareness. Additional contributions include learning-based grasping approaches and dimensionality reduction techniques for efficient object manipulation. Balaguer’s research has been cited over 170 times, reflecting its impact on both manipulation and field robotics communities. His work on bimanual regrasping and deformable object manipulation remains particularly influential for advancing robots’ ability to handle everyday tasks in unstructured environments.