A new method developed by MIT researchers makes robots better at thinking ahead while they are acting, leading to smoother motions and quicker reactions. This technique enables the artificial intelligence model that plans a robot’s motion to forecast its future position. The model uses this prediction to seamlessly transition current movements into the next actions. Many existing methods cause a robot to stop and think about what it needs to do next, leading to slow and jerky motions. By basing its calculations on the future state of the robot, rather than its current position, the MIT method helps robots operate much faster. Importantly, the technique does not add any computational overhead to the planning process and can be applied to varied robotic hardware. This new method doubled the speed of robots performing activities like pick-and-place tasks, while significa…

“Our motivation was to overlap the thinking process with the execution process to make the reaction speed faster,” Tang says. The MIT researchers developed a new system called VLASH that enables a VLA to predict the future state of the robot and its environment. It uses this information to plan the next set of motions while the robot is completing the current action chunk. This solves a major hurdle faced by many other methods, which use the current state of the robot to predict its next moves. “Since the environment will change after the robot moves, if we plan based on stale observations of the current environment, there will be a misalignment that causes very unstable control,” Tang explains. VLASH avoids this misalignment due to a key insight by the research…