Florian Kennel-Maushart
Papers
5
Total Citations
65
H-Index
5
About
Florian Kennel-Maushart is a robotics researcher whose work sits at the intersection of multi-robot coordination, human-robot interaction, and autonomous manipulation. His primary research focuses on enabling teams of mobile robots to collaboratively transport heavy or awkward payloads in unstructured environments—a challenge that demands advances in trajectory optimisation, decentralised planning, and intuitive human control. Kennel-Maushart’s most cited work, “Payload-Aware Trajectory Optimisation for Non-Holonomic Mobile Multi-Robot Manipulation With Tip-Over Avoidance” (21 citations), introduces a novel framework that ensures stability during cooperative transport by accounting for payload dynamics and preventing robot tip-over. He has also pioneered the use of mixed reality interfaces for multi-robot systems, as demonstrated in his 2023 paper (15 citations), allowing operators to intuitively guide robot teams through complex tasks without full automation. His contributions extend to decentralised exploration strategies using Monte Carlo Tree Search (10 citations) and computational assembly planning for architectural structures. With over 65 total citations across his early-career publications, Kennel-Maushart is establishing himself as a key voice in making multi-robot collaboration practical for real-world applications in construction, logistics, and inspection.
Research Focus
Key Achievements
Top Papers
- 1
- 2Interacting with Multi-Robot Systems via Mixed Reality15 citations · 2023
- 3Multi-Arm Payload Manipulation via Mixed Reality10 citations · 2022
- 4Decentralised Multi-Robot Exploration Using Monte Carlo Tree Search10 citations · 2023
- 5