Max Robotics — Global Service Robot Directory + US Certification

About

Raunaq Bhirangi is a robotics researcher whose work sits at the intersection of dexterous manipulation, tactile sensing, and modular design. His major contributions include the development of **All the Feels**, a dexterous hand with large-area tactile sensing that addresses the high cost and reliability issues that have long hindered the adoption of such hands in robotics. He also introduced **ReSkin** and **AnySkin**, versatile, replaceable tactile skins that aim to make tactile sensing as plug-and-play as vision, tackling the critical challenges of durability and data reusability. Bhirangi’s research has garnered significant attention, with his most-cited paper, “Modular Robot Design Synthesis with Deep Reinforcement Learning,” accumulating 37 citations. His work on **DragonClaw**, a low-cost pneumatic gripper with integrated magnetic sensing, further demonstrates his commitment to accessible, practical robotic hardware. More recently, he has explored hierarchical state space models for continuous sequence-to-sequence modeling and object-oriented rewards to bridge the human-to-robot dexterity gap. Bhirangi’s contributions are shaping the future of robotic touch and manipulation, making sophisticated sensing and control more attainable for the broader robotics community.