Papers
7
Total Citations
73
H-Index
5
About
Ricardo de Azambuja is a robotics researcher whose work sits at the intersection of embodied AI, soft robotics, and neuromorphic control. He is best known for pioneering collision-resilient flying robots, most notably his 2022 paper "When Being Soft Makes You Tough," which drew inspiration from arthropod exoskeletons to create a simple, open-source quadcopter that can survive impacts (20 citations). This work challenges the conventional fragility of flying robots and has significant implications for real-world deployment in cluttered environments. De Azambuja is also the lead creator of the GummiArm Project, a replicable, variable-stiffness robot arm designed for safe physical interaction and embodied AI experiments (11 citations). A major thread of his research explores how Spiking Neural Networks (SNNs) and Liquid State Machines (LSMs) can control robots with biological realism and robustness to noise. His 2017 paper on short-term plasticity in an LSM biomimetic arm controller (15 citations) and his 2016 work on diverse, noisy, parallel SNN control for humanoid robots (11 citations) demonstrate his commitment to building brain-inspired controllers that gracefully degrade under real-world conditions. By merging soft, resilient hardware with neuromorphic computing, de Azambuja is helping to create a new generation of robots that are both physically tough and computationally adaptive.
Research Focus
Key Achievements
Top Papers
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- 5Graceful Degradation Under Noise on Brain Inspired Robot Controllers6 citations · 2016
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- 7Automating Active Stereo Vision Calibration Process with Cobots5 citations · 2017