05
2017
US Navy tests aerial drones for real-time mine detection
The US Navy is testing an aerial drone platform that can locate and identify land mines in real time.
read more04
2017
VTOL drone could soar across Canada using lakes as pitstops
Drones need space to launch themselves and a mechanism to propel them forward for take-off. A team of Canadian scientists has come up with a solution to these shortcomings, with a drone that can land and take off again on water and possibly stop to charge
read more03
2017
03
2017
Watch this nimble robot make quick work of odd shapes
Researchers from UC Berkeley have turned to deep learning to help two robotic arms successfully know how to grab odd-shaped items with 99-percent accuracy.
read more02
2017
Megabots' giant American fighting robot beats up a Toyota Prius
With the world's first international giant robot fight just a few months away, team America has revealed its contender. The MegaBots Mk.III combat robot made its hulking debut at Maker Faire Bay Area, and took the opportunity to beat up on a couple of Toy
read more01
2017
Meet Famula, a robotic hand that learns on its own
Researchers at the University of Bielefeld have developed a gripping system with robotic hands, which independently acquaints itself with unknown objects. The new system works without first knowing the features of objects such as fruit or tools.
read more01
2017
Hindu Young World Summer Smart Camp 2017
It gives us great pleasure Kidobotikz partnered with The Hindu Young World as a Robotics Knowledge partner for the Hindu Young World’s Summer Smart Camp 2017.
read more31
2017
Muscle-equipped gloves give VR users a sense of touch
Researchers at UC San Diego are developing lightweight flexible gloves that simulate the resistance one would feel upon touching a real object.
read more30
2017
MetaLimbs gives you an extra pair of robotic hands
A team of Japanese engineers has come up with a solution dubbed MetaLimbs – a set of robotic arms that are controlled with your feet and knees.
read more29
2017
This robot arm’s AI thinks like we do about how to grab something
The basic idea behind the system is rather like how we figure out how to pick things up. You see an object, understand its shape and compare it to other objects you’ve picked up in the past, then use that information to choose the best way to grab it.
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