Thorsten Belker

About

Thorsten Belker’s research lies at the intersection of autonomous robotics, plan-based control, and machine learning, with a focus on enabling robots to operate intelligently in dynamic human environments. His most influential work, the integrated plan-based control of the Rhino robot (2001, 61 citations), demonstrated how combining high-level plan transformation with probabilistic reasoning allows robots to handle prolonged, complex, and real-world tasks. Belker further advanced hybrid robot control architectures by learning to optimize mobile robot navigation from hierarchical task network (HTN) plans (2004, 27 citations), bridging the gap between abstract symbolic reasoning and reactive behavior. He also pioneered methods for learning action models to improve navigation plan execution (2002, 18 citations) and developed local action planning for collision avoidance (2003, 14 citations), enhancing robot safety and efficiency. Across his body of work, Belker’s contributions have shaped how autonomous agents adapt to changing environments and tasks, with cumulative citations exceeding 180. His research remains foundational for students and engineers building service robots that must navigate, plan, and learn in human-centered spaces.

Research Focus

Key Achievements

Top Papers

1. 1
   Integrated, plan-based control of autonomous robot in human environments

   61 citations · 2001
2. 2
   Integrated, plan-based control of autonomous robot in human environments

   28 citations · 2001
3. 3
   Learning to optimize mobile robot navigation based on HTN plans

   27 citations · 2004
4. 4
   Learning action models for the improved execution of navigation plans

   18 citations · 2002
5. 5
   Local action planning for mobile robot collision avoidance

   14 citations · 2003
6. 6
   Environment and Task Adaptation for Robotic Agents

   10 citations · 2000
7. 7
   Learning of plan execution policies for indoor navigation

   8 citations · 2002
8. 8
   Plan projection, execution, and learning for mobile robot control.

   8 citations · 2004
9. 9
   Autonomous environment and task adaptation for robotic agents

   5 citations · 2000
10. 10
    Learning structured reactive navigation plans from executing MDP navigation policies

    3 citations · 2001

Key Collaborators

Contact & Links