Julian Schill
Papers
5
Total Citations
192
H-Index
5
About
Julian Schill is a leading roboticist whose work centers on the design, control, and perception of humanoid robots, with a particular focus on dexterous manipulation and tactile sensing. His most significant contribution is the mechatronic design of the ARMAR-4 humanoid robot, a 63-degree-of-freedom, torque-controlled platform that integrates 214 sensors and 76 microcontrollers for low-level control. This work, which has garnered 68 citations, established a benchmark for full-body torque control in humanoids. Schill has also made pioneering advances in haptic object recognition, developing methods that allow multi-fingered robot hands to identify objects through tactile and kinesthetic data clustering, a contribution cited 48 times. His research on learning continuous grasp stability from tactile sensing (44 citations) addresses the critical challenge of maintaining stable grasps in uncertain environments, moving beyond traditional force-closure metrics. Additionally, Schill has developed force-position control strategies for pneumatic anthropomorphic hands, tackling the nonlinearities inherent in fluidic actuation. His work on reactive grasping of unknown objects, combining visual segmentation with adaptive manipulation, further underscores his impact on enabling robots to operate autonomously in unstructured, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1ARMAR-4: A 63 DOF torque controlled humanoid robot68 citations · 2013
- 2Haptic object recognition for multi-fingered robot hands48 citations · 2012
- 3
- 4Force position control for a pneumatic anthropomorphic hand19 citations · 2009
- 5Discovery, segmentation and reactive grasping of unknown objects13 citations · 2012