Rather than viewing robots and automated machines as isolated systems with limited computation and memory, “Cloud Robotics and Automation” provides access to 1) Big Data: access to updated libraries of images, maps, and object/product data, 2) Cloud Computing: access to parallel grid computing on demand for statistical analysis, learning, and motion planning, 3) Collective Learning: robots and systems sharing trajectories, control policies, and outcomes, and 4) Human Computation: use of crowdsourcing to tap human skills for analyzing images and video, classification, learning, and error recovery. The Cloud can also provide access to a) datasets, publications, models, benchmarks, and simulation tools, b) open competitions for designs and systems, and c) open-source software. Cloud Robotics and Automation raises critical new questions related to network latency, quality of service, privacy, and security.
Surgical robotics and health informatics are two key technologies that form the basis of a collaboration between the First Affiliated Hospital of Sun Yat-sen University (FAH-SYSU) and CITRIS.
Research partners from MITRE, CITRIS Health, UC Davis and UC Merced worked with health care teams to identify digital health barriers and co-create new ways to address them.
Working in partnership with senior living providers, Lighthouse researchers conducted focus groups with residents and staff to identify barriers to technology use.