1 citations · 1 across the 7 of their papers we have counts for
9 papers
Distributed Model Predictive Control with Connectivity-based Contracts
Jorit Geurts, Danilo Saccani, Melanie N. Zeilinger +1
Teams of mobile robots rely on continuous communication with their neighbors for coordination, yet most distributed model predictive control (DMPC) schemes assume the communication…
Anytime Plug-and-Play Control with Contract-Based Distributed MPC
Sabrina Bodmer, Danilo Saccani, Melanie N. Zeilinger +1
A central challenge in many mobile multi-robot applications is that communication topologies are inherently time-varying. Agents may enter or exit the network and such changes cann…
Robust Adaptive Predictive Control for Hook-Based Aerial Transportation Between Moving Platforms
Péter Antal, Andrea Carron, Melanie Zeilinger +2
This paper presents a novel model predictive control (MPC) approach for autonomous pick-and-place between moving platforms with a hook-equipped aerial manipulator. First, for accur…
Bridging RL and MPC for mixed-integer optimal control with application to Formula 1 race strategies
Joschua Wüthrich, Romir Damle, Giona Fieni +3
We propose a hybrid reinforcement learning (RL) and model predictive control (MPC) framework for mixed-integer optimal control, where discrete variables enter the cost and dynamics…
Distributed Predictive Control Barrier Functions: Towards Scalable Safety Certification in Modular Multi-Agent Systems
Jonas Ohnemus, Alexandre Didier, Ahmed Aboudonia +2
We consider safety-critical multi-agent systems with distributed control architectures and potentially varying network topologies. While learning-based distributed control enables…
Real-Time Online Learning for Model Predictive Control using a Spatio-Temporal Gaussian Process Approximation
Lars Bartels, Amon Lahr, Andrea Carron +1
Learning-based model predictive control (MPC) can enhance control performance by correcting for model inaccuracies, enabling more precise state trajectory predictions than traditio…
An MPC framework for efficient navigation of mobile robots in cluttered environments
Johannes Köhler, Daniel Zhang, Raffaele Soloperto +2
We present a model predictive control (MPC) framework for efficient navigation of mobile robots in cluttered environments. The proposed approach integrates a finite-segment shortes…
Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing
Hao Ma, Sabrina Bodmer, Andrea Carron +2
Diffusion models hold great potential in robotics due to their ability to capture complex, high-dimensional data distributions. However, their lack of constraint-awareness limits t…
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints
Maria Krinner, Angel Romero, Leonard Bauersfeld +3
Quadrotor flight is an extremely challenging problem due to the limited control authority encountered at the limit of handling. Model Predictive Contouring Control (MPCC) has emerg…