90 citations · 113 across the 7 of their papers we have counts for
5 papers · 1 filter
MPC-based Deep Reinforcement Learning Method for Space Robotic Control with Fuel Sloshing Mitigation
Mahya Ramezani, M. Amin Alandihallaj, Barış Can Yalçın +2
This paper presents an integrated Reinforcement Learning (RL) and Model Predictive Control (MPC) framework for autonomous satellite docking with a partially filled fuel tank. Tradi…
OmniUnet: A Multimodal Network for Unstructured Terrain Segmentation on Planetary Rovers Using RGB, Depth, and Thermal Imagery
Raul Castilla-Arquillo, Carlos Perez-del-Pulgar, Levin Gerdes +2
Robot navigation in unstructured environments requires multimodal perception systems that can support safe navigation. Multimodality enables the integration of complementary inform…
Trajectory Optimization and Following for a Three Degrees of Freedom Overactuated Floating Platform
Anton Bredenbeck, Shubham Vyas, Martin Zwick +3
Space robotics applications, such as Active Space Debris Removal (ASDR), require representative testing before launch. A commonly used approach to emulate the microgravity environm…
Finding and Following Optimal Trajectories for an Overactuated Floating Robotic Platform
Anton Bredenbeck, Shubham Vyas, Willem Suter +4
The recent increase in yearly spacecraft launches and the high number of planned launches have raised questions about maintaining accessibility to space for all interested parties.…
A Real-Time Approach for Chance-Constrained Motion Planning with Dynamic Obstacles
Manuel Castillo-Lopez, Philippe Ludivig, Seyed Amin Sajadi-Alamdari +3
Uncertain dynamic obstacles, such as pedestrians or vehicles, pose a major challenge for optimal robot navigation with safety guarantees. Previous work on motion planning has follo…