The adaptive systems laboratory develops systems for incremental learning and adaptation in dynamic environments. In particular, we are developing algorithms for incrementally learning and building models of human motion and human behavior through online observation of natural human activity. These systems have a wide range of applications, including motion generation for humanoid and dual-arm robots during skill-transfer and learning from demonstration, motion analysis for activity monitoring and recognition, and sports training and rehabilitation.
- Mar. 20, 2017
The robotics group at Waterloo is hiring for a number of PhD and post-doc positions in human-robot interaction, human motion modeling and learning and robotics for intelligent assembly automation. Interested applicants please email email@example.com with CV, sample publications and contact details of referees.