Justin Yim wins Best Student Paper Award at ICRA 2019

EECS PhD student Justin Yim (with advisor EECS Prof. Ron Fearing and ME undergraduate co-author Eric Wang) has won the best student paper award at the 2019 IEEE International Conference on Robotics and Automation (ICRA) (May 20-24, Montreal) for his paper “Drift-free Roll and Pitch Estimation for High-acceleration Hopping.”  The robot “Salto” (Saltatorial Agile Locomotion on Terrain Obstacles) was previously restricted to only indoor operation in a room equipped with a motion tracking system. In the newest paper, Salto can now estimate its own position by combining its onboard inertial sensor with a model of its takeoffs and landings. This improved estimate allows
Salto to hop outside with human steering.