Scenario-Based Trajectory Optimization in Uncertain Dynamic Environments

We present an optimization-based method to plan the motion of an autonomous robot under the uncertainties associated with dynamic obstacles, such as humans. Our method bounds the marginal risk of collisions at each point in time by incorporating chance constraints into the planning problem. This problem is not suitable for online optimization...

Cooperative r-Passivity-Based Control: Development of a Multi-Agent Passivity-Based Control Scheme with Robustness towards Network Effects

In this work we consider the problem of cooperative formation control between heterogeneous agents when time-varying delays and/or packet loss are present. Specifically, we introduce a control law for nonlinear fully actuated mechanical agents that separates the cooperative coordinates from the local coordinates, which removes the necessity for...