Summary
Surya Singh is a research scientist with 11 years of experience advancing robotics at the intersection of mechanics, control, and system design, currently working at the RAI Institute in Cambridge. He specializes in deformable and "soft" robotics for challenging non-Lambertian environments—wet, specular, and glassy surfaces—bringing integrated motion planning, control, and teleoperation into pragmatic systems. Previously he led mechatronics education and a robotics design lab as a senior lecturer at The University of Queensland and developed robotics control at Intuitive, blending academic rigor with industry-grade system engineering. His background includes a PhD from Stanford and an MS from Carnegie Mellon, reflecting deep formal training in mechanical engineering and robotics. Surya focuses on moving robots beyond rigid stereotypes via open educational platforms (OpenPlatypus) and hardware projects (CHARM arm), emphasizing reproducible design and hands-on innovation. Colleagues describe him as someone who couples theoretical insight with practical prototypes that tackle perception and manipulation in the real world.
10 years of coding experience
Bachelor's Degree Mechanical Engineering, Bachelor's Degree Mechanical Engineering at University of Tennessee, Knoxville
Master's Degree Robotics, Master's Degree Robotics at Carnegie Mellon University
Doctor of Philosophy (Ph.D.) Mechanical Engineering, Doctor of Philosophy (Ph.D.) Mechanical Engineering at Stanford University
English, Spanish, Japanese