The Current State of Industrial Robotics
Results in the fields of deep and reinforcement learning have ignited immense interest in the possible applications for robotics. In particular, research into learning based approaches to control as well as scene understanding techniques hint at the possibility of new applications and new ways of programming robots. However, most research has been geared toward toy problems, and there continues to be a gap between the most advanced papers and the reality of deployed industrial robots. I will discuss the most recent advances in deep and reinforcement learning for robotics, the current state of industrial robotics, and how Osaro is working to bridge the gap.
Hariharan Ananthanarayanan is a Robotics Engineer and an enthusiast who currently works as a Motion planning Engineer at Osaro, a San Francisco based machine learning company building products powered by Deep Reinforcement Learning. Hariharan has close to ten years of experience in the automation and material handling industry since when he started working for an Automated Guided Vehicle manufacturer in 2006. Hariharan’s expertise lies in the Kinematics of robotic arms particularly in motion planning and controlling of robotic manipulators in industrial environment. He also possesses excellent product development skills which he leveraged in building the first functioning prototype of Obi, an independent feeding device for people with disabilities. His critical contribution to the product and active participation in the company, enabled the founders of Desin LLC to launch their product Obi, successfully in 2016. Hariharan currently focusses on integrating machine learning techniques to control of robotic arms for more intuitive and reliable performance. Hariharan strongly believes that the advancements in machine learning can be leveraged to achieve human like capabilities in manipulation. Hariharan possess a Bachelors Degree in Mechanical Engineering from India (2003), a Master’s in Mechanical Engineering with focus on robotics from University of Tennessee (2005) and a Ph.D in motion planning of industrial manipulators from University of Dayton (2015).