Yannick Burkhardt
Technical University of Munich, FZI Research Center for Information Technology
Papers
2
Total Citations
10
H-Index
2
About
Yannick Burkhardt is a robotics researcher whose work focuses on advancing autonomous manipulation, particularly through dexterous grasping and shared human-robot control. His key research areas include dynamic grasping of unknown objects and cooperative control for large vehicle-manipulators. In his 2024 paper, "Multi-fingered Dynamic Grasping for Unknown Objects," Burkhardt tackles the challenge of enabling robots to grasp unseen objects in non-stationary environments—a critical step beyond simplified lab setups. This work, with 5 citations, addresses the need for robots to handle real-world unpredictability without relying on pre-defined objects or static conditions. His earlier 2020 paper, "Validation of Cooperative Shared-Control Concepts for Large Vehicle-Manipulators," also with 5 citations, experimentally validates shared-control strategies for hydraulic robotic arms on large vehicles. This research demonstrates how automation can reduce the psychological and physiological load on human operators, making complex machinery safer and more intuitive to control. Burkhardt’s contributions are notable for bridging the gap between theoretical control concepts and practical deployment in challenging, real-world scenarios. His work on dynamic grasping and cooperative control is paving the way for more capable and collaborative autonomous systems in industrial and service robotics.
Research Focus
Key Achievements
Top Papers
- 1Multi-fingered Dynamic Grasping for Unknown Objects5 citations · 2024
- 2