Till Hofmann

About

Till Hofmann is a leading researcher in autonomous mobile robotics, with a core focus on continual planning, goal reasoning, and multi-agent cooperation. His work addresses the critical challenge of enabling robots to operate dynamically in real-world environments, where tasks change and knowledge is incomplete. Hofmann pioneered the integration of PDDL-based planning with Golog for continual planning, and introduced database-driven macroplanning to generate efficient macro actions from past plans—dramatically reducing planning time for repetitive tasks. His contributions have been validated through repeated success in the RoboCup Logistics League, where his teams won in 2019 and 2023, demonstrating robust goal reasoning, fast navigation, and precise manipulation. With over 50 citations across his most-cited works, Hofmann’s impact is evident in advancing constraint-based plan transformation and promise-based multi-agent cooperation. His research is essential reading for anyone interested in bridging high-level reasoning with low-level robot execution in dynamic, real-world settings.

Research Focus

Key Achievements

Top Papers

1. 1
   Initial Results on Generating Macro Actions from a Plan Database for Planning on Autonomous Mobile Robots

   17 citations · 2017
2. 2
   Continual Planning in Golog

   17 citations · 2016
3. 3
   Winning the RoboCup Logistics League with Fast Navigation, Precise Manipulation, and Robust Goal Reasoning

   11 citations · 2019
4. 4
   Constraint-Based Online Transformation of Abstract Plans into Executable Robot Actions.

   4 citations · 2018
5. 5
   Winning the RoboCup Logistics League with Visual Servoing and Centralized Goal Reasoning

   2 citations · 2023
6. 6
   Towards Using Promises for Multi-Agent Cooperation in Goal Reasoning

   2 citations · 2022

Key Collaborators

Contact & Links