Summary
Avadesh Meduri is a Lead Robotics Control Engineer and PhD-trained researcher with nine years of experience applying reinforcement learning, machine learning, and numerical optimization to fast multi-contact trajectory and model predictive control for legged and manipulator robots. At NYU’s Machines in Motion group he developed real-time constrained nonlinear MPC for whole-body motions, goal-conditioned policy/value networks to accelerate planning for dexterous manipulation, and methods that fuse high-modality sensor data (RGB-D) into MPC for improved industrial robot decision-making. Now leading control engineering at Reflex Robotics, he brings a rare blend of academic rigor and hands-on deployment experience on humanoids and quadrupeds, including real-world controllers demonstrated on Solo. Known for pushing computation to 1 kHz and integrating learned cost models into control loops, he focuses on robustness and autonomy for challenging tasks like parkour and 6D wrench control.
9 years of coding experience
2 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Doctor of Philosophy - PhD, Mechanical Engineering, 3.94, Doctor of Philosophy - PhD, Mechanical Engineering, 3.94 at New York University
High School, science, 96.2%, High School, science, 96.2% at National Public School, koramangla
English, Hindi, Telugu, Sanskrit