A vision-based control system called Neural Jacobian Fields enables soft and rigid robots to learn self-supervised motion control using only a monocular camera. The system, developed by MIT CSAIL researchers, combines 3D scene reconstruction with embodied representation and closed-loop control.
MIT researchers developed a powerful system that could help robots safely navigate unpredictable environments using only images captured from their onboard cameras.
Founded by MIT alumni, the Pickle Robot Company has developed robots that can autonomously load and unload trucks inside warehouses and logistic centers.
A hopping, insect-sized robot can jump over gaps or obstacles, traverse rough, slippery, or slanted surfaces, and perform aerial acrobatic maneuvers, while using a fraction of the energy required for flying microbots.
MIT researchers developed an aerial microrobot that can fly with speed and agility comparable to real insects. The research opens the door to future bug-sized robots that could aid in search-and-rescue missions.
Robot, know thyself: New vision-based system teaches machines to understand their bodies Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
MIT roboticists developed a way to cut through data noise and help robots focus on the features in a scene that are most relevant for assisting humans. The system could be used in smart manufacturing and warehouse settings where robots would work alongside and assist humans.
The robot can support the person’s full weight, lifting them from sitting to standing and vice versa along a natural trajectory. And the arms of the robot can catch them by rapidly inflating side airbags if they begin to fall.
The word “robot” was coined by the Czech writer Karel Čapek in a 1920 play called Rossum’s Universal Robots, and is derived from the Czech robota, meaning “drudgery” or “servitude”.
A new system enables a robot to “think ahead” and consider thousands of potential motion plans simultaneously, allowing the robot to solve a multistep problem in a few seconds.
