Alexander Kasper

About

Alexander Kasper is a leading researcher in service robotics, with a focus on object recognition, manipulation, and robot learning. His most influential contribution is the KIT Object Models Database, a seminal resource cited over 230 times, which provides multimodal 2D and 3D object models essential for enabling robots to recognize, localize, and manipulate objects in real-world environments. Kasper’s work on automatic grasp planning systems, cited 62 times, integrates physical and semantic object information to improve robotic dexterity. He has also advanced Programming by Demonstration, developing methods for robots to learn manipulation strategies from human demonstrations, as seen in his 2010 paper on the topic. His research on intuitive interactive object modeling and learning of planning models for dexterous manipulation further underscores his commitment to making service robots more autonomous and adaptable. Through these contributions, Kasper has significantly enhanced the ability of robots to interact with and manipulate their surroundings, laying critical groundwork for practical service robotics applications.

Research Focus

Key Achievements

Top Papers

1. 1
   The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics

   230 citations · 2012
2. 2
   An automatic grasp planning system for service robots

   62 citations · 2009
3. 3
   Advances in Robot Programming by Demonstration

   35 citations · 2010
4. 4
   Developing and analyzing intuitive modes for interactive object modeling

   17 citations · 2007
5. 5
   Learning of Planning Models for Dexterous Manipulation Based on Human Demonstrations

   17 citations · 2012
6. 6
   Learning of generalized manipulation strategies in the context of Programming by Demonstration

   13 citations · 2010
7. 7
   Semi Automatic Object Modeling for a Service Robot

   3 citations · 2012

Key Collaborators

Contact & Links