Tuesday, Jul 14, 2020 | Last Update : 10:00 AM IST

112th Day Of Lockdown

Maharashtra26992414450710482 Tamil Nadu142798925672032 Delhi113740913123411 Gujarat42808298062056 Karnataka4158116249759 Uttar Pradesh3813024203955 Telangana3622123679365 West Bengal3144819213956 Andhra Pradesh3110316464365 Rajasthan2493618630518 Haryana2192916637308 Madhya Pradesh1820713208653 Assam178081141741 Bihar1742112364125 Odisha13737925591 Jammu and Kashmir108276095179 Kerala8323425732 Punjab81785586199 Chhatisgarh4265320219 Jharkhand3963235131 Uttarakhand3608285647 Goa2583154014 Tripura209314752 Manipur16269700 Puducherry146878518 Himachal Pradesh124392710 Nagaland8453400 Chandigarh5884238 Arunachal Pradesh3871452 Meghalaya316462 Mizoram2331510 Sikkim166870
  Technology   In Other news  07 Mar 2020  Soon, robots could be doing your chores, like a real-life ‘Android Kunjappan’

Soon, robots could be doing your chores, like a real-life ‘Android Kunjappan’

PTI
Published : Mar 7, 2020, 5:54 pm IST
Updated : Mar 7, 2020, 5:54 pm IST

Scientists have developed a system that teaches robots to do complicated household tasks

A still from the malayalam film Android Kunjappan. (Photo | YouTube)
 A still from the malayalam film Android Kunjappan. (Photo | YouTube)

Boston: Like in the 2019 Malayalam movie Android Kunjappan or the Hindi short film Anukul based on Satyajit Ray’s short story, we could see robots doing all the chores, in a not-so-distant future. Scientists, including one of Indian origin, have designed a system that teaches robots complicated tasks such as setting a table.

Robots would otherwise find such tasks confusing as there are too many rules for it to follow.

The new system, called Planning with Uncertain Specifications (PUnS) system, gives robots human-like planning ability to simultaneously weigh many ambiguous, and potentially contradictory requirements to reach end goals, according to their study, published in the journal IEEE Robotics and Automation Letters.

With the new system, robots choose the most likely action to take, based on a "belief" about some probable specifications for the task it is supposed to perform, the researchers from Massachusetts Institute of Technology (MIT) in the US, said.

In the study, the scientists compiled a dataset with information about how eight objects -- a mug, glass, spoon, fork, knife, dinner plate, small plate, and bowl -- could be placed on a table in various configurations.

A robotic arm first observed randomly selected human demonstrations of setting the table with the objects, the study noted.

The researchers then tasked the arm with automatically setting a table in a specific configuration, in real-world experiments and in simulation, based on what it had seen.

To succeed, the robot had to weigh many possible placement orderings, even when the items were purposely removed, stacked, or hidden, they said.

While following these rules would normally confuse robots too much, the new system helped the bot make no mistakes over several real-world experiments, and only a handful of errors over tens of thousands of simulated test runs, the researchers said.

Tags: robots, robotics, humanoid robot, automation, android