Robotics with Machine Learning
As the term “machine learning” has heated up, interest in “robotics” as not altered much over the last three years. Presenting details on the subject Prof Agarwal explained Robotics includes manipulators, autonomous vehicles, drones ,mobile robots, service robots
While significant portion of recent developments in robotics can be credited to developments and uses of machine learning, aimed to collect some of the more prominent applications was explained in detail quoting its usage in medical sciences
He elucidated that most robots are not, and will likely not, be humanoids for some time from now; as robots are designed for a range of behaviors in a plethora of environments, their bodies and physical abilities will reflect a best fit for those characteristics. An exception will likely be robots that provide medical or other care or companionship for humans, and perhaps service robots that are meant to establish a more personal and ‘humanized’ relationship.
Like many innovative technological fields today, robotics has and is being influenced and in some directions steered by machine learning technologies. He highlighted that according to a recent survey published most of the challenges of stability, robustness and adversarial perturbation are being overcome.
He concluded with the overview that machine learning applications in robotics highlight key areas where machine learning has had a significant impact on robotic technologies, both at present and in the development stages for future uses.