Papers
35
Total Citations
695
H-Index
15
About
Rainer Palm is a distinguished researcher whose work spans robotics, intelligent control systems, and human-robot interaction, with particular expertise in fuzzy logic, adaptive control, and robot learning. Over more than three decades, Palm has made foundational contributions to the development of fuzzy controllers for robotic systems, beginning with his pioneering 1989 work on sensor-guided robot manipulators and continuing through influential studies on scaling fuzzy controllers using cross-correlation (1995, 42 citations) and adaptive fuzzy sliding-mode control applied to robot manipulators (2001, 52 citations). His robust control methods, including adaptive non-singular terminal sliding mode approaches (2017, 83 citations), have been widely adopted in the control engineering community. Palm has also advanced intuitive robot programming through Programming by Demonstration techniques for industrial manipulators and reaching motions, and contributed significantly to grasp learning for anthropomorphic robotic hands using time-clustering and Takagi-Sugeno modeling. More recently, his work on bidirectional navigation intent communication using spatial augmented reality and eye-tracking for human-robot interaction (2019, 95 citations) has garnered substantial attention in the safety-critical robotics community. His research portfolio reflects a coherent vision of making robots more adaptive, learnable, and safe to work alongside humans.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust control by adaptive Non-singular Terminal Sliding Mode83 citations · 2017
- 3An adaptive fuzzy sliding-mode controller52 citations · 2001
- 4Scaling of fuzzy controllers using the cross-correlation42 citations · 1995
- 5Fuzzy controller for a sensor guided robot manipulator41 citations · 1989
- 6
- 7Recognition of human grasps by time-clustering and fuzzy modeling36 citations · 2008
- 8Control of a redundant manipulator using fuzzy rules33 citations · 1992
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