Caspar Robot Homes – An Intelligent Operating System for Smart Homes
We are at the dawn of the Internet of Things: a revolution aimed at making the world smart. While there are many companies selling a wide range of individual devices, there is no coherent system that views the devices fitting into a real computing architecture.
Caspar is an intelligent operating system for homes that uses these devices to understand the environment in which its users live, their individual needs, and that is in a position to contextualize their requests. The residents use Caspar for requests such as “Caspar, who is at the door?” “Caspar, can you adjust the shades to block the sun.” or even “Caspar, where are my glasses?” In each of these cases, a sensible answer requires a computing system that understands objects and their locations, and that can reason about them. For example, which door or window is she talking about? What is the angle at which the sun is shining on that window? What sorts of shades does this apartment have, and how should the rest of shades and lighting be adjusted to screen out the sun without blocking all the light? In fact, over time Caspar would learn these preferences and she would not even need to ask! However, this requires new advances in artificial intelligence algorithms.
Caspar thus creates a world where the home is the computer, the data is tied to the physical environment, and where we have a totally new kind of “app” aimed at helping with day to day life, securing our living spaces, reducing waste of power and water, help in elderly living. Caspar was founded by Ashutosh Saxena and Prof. David Cheriton (Stanford University), with team members from Cornell, Stanford, MIT, Google, Amazon, and SpaceX.
Dr. Ashutosh Saxena is the Founder and CEO of Caspar.AI. He received his PhD in machine learning from Stanford University in 2009, and his B.Tech. in 2004 from Indian Institute of Technology (IIT) Kanpur. Before Caspar.AI, Ashutosh spent four years as an assistant professor in Computer Science Department at Cornell University, where he founded Robot Learning Lab and co-founded Zibby. He was named an Alfred P. Sloan Fellow in 2011, a Microsoft Faculty Fellow in 2012, received a NSF Career award in 2013, and received an Early Career Award at RSS 2014. He has also won best paper awards in 3DRR, RSS, IEEE ACE and IROS.
Dr. Saxena ‘s vision is to build artificial intelligence for embodied systems such as robots, cars, and homes. He was a Chief Scientist at Holopad that built the 3D experience for Steven Spielberg's movie TinTin. He was selected among top 8 innovators to watch by the Smithsonian institution in 2015, and also received the World Technology Award in 2015. His work has received substantial amount of attention in popular press, including the front-page of New York Times, BBC, ABC, New Scientist Discovery Science, and Wired Magazine.