Erich Mielke
Papers
3
Total Citations
31
H-Index
3
About
Erich Mielke is a robotics researcher whose work sits at the intersection of human-robot interaction and collaborative manipulation. His primary focus centers on **co-manipulation** — the physically coordinated handling of large, extended objects by human-robot pairs — a challenge that demands sophisticated understanding of how humans naturally work together. Mielke's most significant contribution lies in his systematic study of human-human dyad experiments to inform robot controller design. His foundational 2017 paper, which has garnered 19 citations, characterized the biomechanics and force-motion dynamics of lateral co-manipulation between human pairs, establishing a behavioral baseline that robot systems can emulate. Building on this empirical groundwork, his subsequent research introduced data-driven models and control frameworks that allow robots to replicate the intuitive coordination strategies humans naturally employ, reducing ambiguity in shared object manipulation tasks. What distinguishes Mielke's approach is his conviction that human-inspired controllers produce more comfortable, fluid, and effective human-robot collaboration compared to purely algorithmic methods. His body of work offers practical pathways toward deploying collaborative robots in manufacturing, logistics, and assistive settings where seamless physical teamwork is essential. His research continues to advance the goal of robots that feel less like tools and more like genuine partners.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3