When we imagine industrial robots, we tend to think of: robot In a car factory or doing construction work. However, a new generation of robots is poised to reduce the environmental impact of industrial robots. The solution, devised at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), is essentially: Innovative robotic arm Identify, track and move waste for recycling.
RoCycle robotic arms work alongside conveyor belts that carry thousands of waste products every day. Thanks to its articulated design, soft grippers and tactile sensors, it separates paper, metal and plastic waste. Their high deformation capacitive pressure and strain sensors allow you to grab boxes, cups and cans.Moreover, this New technology It can also identify waste that is unrecognizable to human operators.
Many recycling plants use magnets to sort metals and air filters to recover paper and plastic, but most waste sorting is done manually.As a researcher of this technology project As pointed out in an article published in the MIT Technology Review, this can be a major bottleneck in waste management. People at home recognize the color of each recycling bin, but the lack of efficient recycling technology at the end of the process leaves a weak link in the chain. Disruption in the selection process has tangible costs. In the United States alone, his 25% of waste is so polluted that it must be sent to landfills. In addition, organic waste, mixed with plastics, paper and metals, poses health risks to human workers.
A future challenge is to improve the accuracy of this new technique. Tests conducted so far have achieved an 83% success rate for static objects and a 63% success rate for simulated conveyor belts. The next step is to hone your skills by adding sensors that provide video feeds. RoCycle Robot.
A robot arm that can shoot 3 points
What recycling robot I have close relatives. A team at Google, Columbia and Princeton Universities, and his MIT itself have developed another robotic arm with an interesting feature. As anyone who has played basketball can attest, scoring a basket requires a complex computational process that must take into account the weight, distance, and trajectory of the ball.Therefore, researchers should robot prototype After scanning objects and selecting them, you can throw them into the bin.
In addition to the ability to recognize objects, innovative technology Take advantage of deep learning Artificial intelligence A system that can identify collected objects and establish projected trajectories. Tests conducted by researchers using this robotic arm achieved his 87% accuracy in lifting objects and 83% successful throws. Perhaps the researchers weren’t professional basketball players, but their success rate was lower.
sauce: TechExplore
