AI system learns to keep warehouse robot traffic running smoothly
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
By moving their hands and fingers, users can direct a robot to play piano or shoot a basketball, or they can manipulate objects in a virtual environment.
Read MoreWith this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.
Read MoreAcademia-industry relationship is an early-stage accelerator, supporting professional progress and research.
Read MoreA new hybrid system could help robots navigate in changing environments or increase the efficiency of multirobot assembly teams.
Read MoreLincoln Laboratory intern Ivy Mahncke developed and tested algorithms to help human divers and robots navigate underwater.
Read MoreThe speech-to-reality system combines 3D generative AI and robotic assembly to create objects on demand.
Read MoreFounded by MIT alumni, the Pickle Robot Company has developed machines that can autonomously load and unload trucks inside warehouses and logistic centers.
Read MoreWith insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.
Read MoreMIT CSAIL and LIDS researchers developed a mathematically grounded system that lets soft robots deform, adapt, and interact with people and objects, without violating safety limits.
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