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Researchers at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) have developed a system that equips robots with the ability to link multiple senses. The system involves a predictive AI that can learn how to see using its “sense” of touch, and vice versa.
How it Works
The team’s system can create realistic tactile signals from visual inputs, and predict which object and what part is being touched directly from those tactile inputs. They used a KUKA robot arm with a special tactile sensor called GelSight, designed by another group at MIT.
Bridging the Sensory Gap
The researchers aim to bridge the sensory gap between robots and humans, where humans have a complete sense of their surroundings, and their decision-making is based on the integration of what they see, hear, touch, smell, etcetera. The development of this system is a significant step towards creating robots that can interact with the world in a more human-like way, and it has the potential to revolutionize the field of robotics.
Impact on Robotics
The system developed by the researchers at MIT can empower robots and reduce the data needed for tasks involving manipulating and grasping objects. The system can also help robots make decisions based on the environment they are in, and allow one sense to influence another, enabling the robot to better judge a situation.
Conclusion
The researchers are looking to combine sensors and mimic how our brains actually work, which can lead to the creation of robots that can interact with the world in a more human-like way. This development is a significant step towards creating robots that can interact with the world in a more human-like way, and it has the potential to revolutionize the field of robotics.
Sources used :
https://www.csail.mit.edu/news/giving-soft-robots-senses
https://news.mit.edu/2023/legged-robotic-system-playing-soccer-various-terrains-0403
https://news.mit.edu/2020/giving-soft-robots-senses-0601
https://news.mit.edu/2019/teaching-ai-to-connect-senses-vision-touch-0617