Last Friday, MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) hosted 150 local high school students for its second annual “Hour of Code” event, tied to the international initiative focused on getting kids interested in programming.
NASA announced today that MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is one of two university research groups nationwide that will receive a 6-foot, 290-pound humanoid robot to test and develop for future space missions to Mars and beyond.
Robots have many strong suits, but delicacy traditionally hasn’t been one of them. Rigid limbs and digits make it difficult for them to grasp, hold, and manipulate a range of everyday objects without dropping or crushing them.
Recently, CSAIL researchers have discovered that the solution may be to turn to a substance more commonly associated with new buildings and Silly Putty: silicone.
In a surprise move today, Toyota held a press conference (see video below) announcing a substantial investment in robotics and AI research to develop “advanced driving support” technology, with former Program Manager of DARPA’s DRC Gill Pratt directing the overall project as Executive Technical Advisor. Toyota will allocate USD$50M over the next five years in a partnership with MIT’s CSAIL (headed by Daniela Rus) and Stanford’s SAIL (headed by Fei-Fei Li) to develop research facilities in Stanford and Cambridge.
In this episode, Audrow Nash interviews John Romanishin from MIT, about his modular robotics project ‘M-Blocks’. M-Blocks are small cubes (5 cm on a side) that have no external actuators, yet they manage to move and even jump.
What looks like a fish, swims like a fish but isn’t a fish? The latest in soft-bodied robots created by team of engineers of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology.
Researchers at MIT CSAIL have decided that slow and obstacle-free flight is boring, so they’ve come up with a way to get MAVs navigating at high speed, indoors, around obstacles, without needing motion tracking or GPS or beacons or any of that nonsense. All they need is a little aircraft that can carry a planar laser rangefinder, an IMU, and a pre-existing 3D occupancy map that the MAV can localize itself in.