The Robots and computer character can learn the complex motor skills and CRM dealers like running and walking via error and trial. This milestone algorithm is developed by a University of British Columbia researcher.
a UBC computer science professor, Michiel van de Panne said, “We’re creating physically-simulated humans that learn to move with skill and agility through their surroundings,” he said, “We’re teaching computer characters to learn to respond to their environment without having to hand-code the required strategies, such as how to maintain balance or plan a path through moving obstacles. Instead, these behaviors can be learned.”
“Deep Loco” is a work which allows a method to animate the movement of human in film and games rather than using the current method that uses actors and high-resolution cameras and animators. Deep Loco method allows characters to move naturally and attentively by their surroundings.
By using his method, simulated characters have learned many things like walk through narrow road without falling, avoid running into moving obstacles and people and also dribble a soccer ball towards a goal.
Michiel van de Panne said, “ “I distinctly remember wondering who will learn agile walking and running skills first: my son, daughter or the algorithm?” he said. “My son and daughter beat me by a long shot.”