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is a method for optimal control of a system subjected to multiple smaller dimensional constraints and optimization criteria. It has risen in popularity in humanoid robots due to the large number of degrees of freedom. Many different constraints and tasks can be used for optimizing the controlled system, including collision avoidance, dynamic and static stability, kinematic and dynamic limits. In terms of task optimization, typically you try to minimize trajectory errors for one or more than one end-effectors. Research Topics: • Modelling of mobile manipulators with non-holonomic constraints • Formulating and solving the whole-body control problem with QP solvers • Implementing different constraints and tasks for optimization during whole-body motion Goal(s): • Thesis report to university (1 week in advance before submitting to university for ABB internal review) • Thesis report to ABB (could be the same as the one in the university, depending on IP) • Invention disclosure (potentially) • Software and prototypes Details: • 6 month • 30 credits • One student • Since lab work involved, the MS student need to come ABB office in Västerås from time to time • Contact for details: [email protected] Your responsibilities: • Literature study on whole-body control for mobile manipulation • Implement a whole-body controller in C++ (Python or Matlab could be used for prototyping) • Implement different tasks and constraints for kinematic and dynamic optimization • Build demonstrators on the mobile YuMi research platform
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