Consensus-Based Modular and Heterogeneous Motion Generation for Multi-Purpose Robots

The position involves developing a new control architecture for multi-purpose robots, treating them as networks of collaborating agents. The successful candidate will work on modular motion generation, coordinating various solvers, and validating the framework on real robotic platforms. The role requires a Ph.D. in related fields and expertise in optimization and learning-based motion generation.