Regine Becher

About

Regine Becher is a pioneering researcher in human-robot interaction, with a focus on making robotic systems more intuitive and accessible through multimodal communication. Her work centers on gesture and speech control for commanding robot assistants, a field in which she has made foundational contributions. Her most cited paper, "Using gesture and speech control for commanding a robot assistant" (2003), with 121 citations, demonstrates her impact by advancing natural, non-classical interfaces for mobile robots. Becher was also instrumental in the Collaborative Research Center 588 "Humanoid Robots — Learning and Cooperating Multimodal Robots" at Karlsruhe, Germany, where she contributed to developing mechatronic components and cooperative learning systems for humanoid robots. Her research on intuitive interactive object modeling further underscores her commitment to user-friendly robotic design. Through her work, Becher has helped shape the path toward robots that can seamlessly share workspaces with humans, blending technical rigor with a deep understanding of human-centered interaction.

Research Focus

Key Achievements

Top Papers

1. 1
   Using gesture and speech control for commanding a robot assistant

   121 citations · 2003
2. 2
   ARMAR II — A LEARNING AND COOPERATIVE MULTIMODAL HUMANOID ROBOT SYSTEM

   45 citations · 2004
3. 3
   THE COLLABORATIVE RESEARCH CENTER 588: "HUMANOID ROBOTS — LEARNING AND COOPERATING MULTIMODAL ROBOTS"

   19 citations · 2004
4. 4
   Developing and analyzing intuitive modes for interactive object modeling

   17 citations · 2007
5. 5
   Sonderforschungsbereich 588: Humanoide Roboter – Lernende und kooperierende multimodale Roboter (Humanoid Robots – Learning and Cooperating Multimodal Robots)

   4 citations · 2004

Key Collaborators

Contact & Links