Research focus
About the research
Can robots pick and sort apples reliably in unstructured orchard environments using integrated mobile manipulation systems?
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The group is the PI and lead developer for an Automated and Integrated Mobile System (AIMS) project to develop an efficient robotic apple harvester funded through a USDA Specialty Crop Research Initiative. The researchers design cloud-enabled vehicle control and sensing methods to address connectivity, control and privacy in connected and automated vehicles as described in the CAREER project. The team builds soft multi-arm robotic manipulators (SMART) and applies learning-based controllers to enable safer, compliant human-robot collaboration. The group applies learning and control of robot systems combined with vehicle dynamics and optimal control to improve autonomous mobility and robotic manipulation.
Selected publications
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