A robot that can quickly adapt its movement could take on dangerous tasks first.
SUTD researchers have developed a reinforcement-learning-based safety system that teaches a stair-traversing service robot to brace itself mid-fall, addressing one of the biggest barriers to deploying ...
Staircases are among the most challenging terrains a mobile robot can face. A multi-year field study found that robots designed for stair traversal fail at least 35 times more often on stairs than on ...