|
- Robot, know thyself: New vision-based system teaches machines to . . .
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
- Robots that spare warehouse workers the heavy lifting
Founded by MIT alumni, the Pickle Robot Company has developed robots that can autonomously load and unload trucks inside warehouses and logistic centers
- Hopping gives this tiny robot a leg up - MIT News
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
- Teaching robots to map large environments - MIT News
MIT researchers developed a powerful system that could help robots safely navigate unpredictable environments using only images captured from their onboard cameras
- Robotics | MIT News | Massachusetts Institute of Technology
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
- Robotic system zeroes in on objects most relevant for helping humans . . .
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
- MIT engineers design an aerial microrobot that can fly as fast as a . . .
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
- Eldercare robot helps people sit and stand, and catches them if they . . .
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
|
|
|